Condition Based Monitoring Solution_Rockwell Automation Shawn Lim
Ever wanted to predict the root cause of the problem that actually cause the undesirable downtime of your equipment such as the Chill Water pump that routed to your Chillers?
Let me help to uncover the solution that will help to solve your grouses once and for all!
Condition Based Monitoring will be the next generation Technology and let's embark on this journey together with me
Condition monitoring (or CM) is the process of monitoring a parameter of condition in machinery (vibration, temperature etc.) and identify a significant change which is indicative of a developing fault.
The use of condition monitoring allows maintenance to be scheduled, or other actions to be taken to prevent failure and avoid its consequences.
The document discusses condition monitoring of machines. It defines condition monitoring as monitoring parameters of a machine's condition. Condition monitoring has benefits like detecting early warning signs, preventing downtime, reducing costs, and being integrated with AI. There are sensor-based and sensorless methods. Sensor-based uses sensors like accelerometers, tachometers, and probes while sensorless uses existing machine sensors. Condition monitoring has applications in wind turbines, oil and gas, and bearings. It introduces a criticality index to define a machine's importance.
This document discusses implementing a condition-based maintenance (CBM) program across an entire enterprise using the OSIsoft PI System. It describes CBM as a proactive approach that monitors assets for early signs of degradation to predict and prevent failures. The document outlines how to collect asset data, structure it for analysis and visualization, and create a web portal to monitor asset conditions and receive notifications. Implementing this CBM methodology can help organizations optimize maintenance processes and reduce costs through more efficient asset management.
The document provides an introduction to predictive maintenance. It outlines the objectives of the course, which are to define predictive maintenance programs and various condition monitoring techniques, including vibration analysis, lubrication analysis, ultrasonic analysis, and thermographic analysis. The agenda covers topics such as predictive maintenance, maintenance planning, vibration analysis, and thermal analysis. The document then begins discussing predictive maintenance in more detail, defining preventative maintenance, predictive maintenance, and condition monitoring. It explores patterns of equipment failure and how to monitor equipment condition.
The document discusses predictive maintenance in oil refineries using analytics. It notes that most refinery shutdowns are unplanned and due to mechanical failures. Traditional maintenance methods are reactive or preventive. Predictive analytics uses real-time equipment data and historical maintenance records to monitor equipment health and estimate remaining lifespan. This allows refineries to schedule maintenance more efficiently to avoid breakdowns and reduce downtime. The document provides examples of predictive algorithms and dashboards that can integrate data for predictive maintenance to optimize operations and supply chain processes. It estimates that a typical 100,000 bpd refinery could save over $3.5 million annually through predictive maintenance.
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
Condition Based Monitoring Solution_Rockwell Automation Shawn Lim
Ever wanted to predict the root cause of the problem that actually cause the undesirable downtime of your equipment such as the Chill Water pump that routed to your Chillers?
Let me help to uncover the solution that will help to solve your grouses once and for all!
Condition Based Monitoring will be the next generation Technology and let's embark on this journey together with me
Condition monitoring (or CM) is the process of monitoring a parameter of condition in machinery (vibration, temperature etc.) and identify a significant change which is indicative of a developing fault.
The use of condition monitoring allows maintenance to be scheduled, or other actions to be taken to prevent failure and avoid its consequences.
The document discusses condition monitoring of machines. It defines condition monitoring as monitoring parameters of a machine's condition. Condition monitoring has benefits like detecting early warning signs, preventing downtime, reducing costs, and being integrated with AI. There are sensor-based and sensorless methods. Sensor-based uses sensors like accelerometers, tachometers, and probes while sensorless uses existing machine sensors. Condition monitoring has applications in wind turbines, oil and gas, and bearings. It introduces a criticality index to define a machine's importance.
This document discusses implementing a condition-based maintenance (CBM) program across an entire enterprise using the OSIsoft PI System. It describes CBM as a proactive approach that monitors assets for early signs of degradation to predict and prevent failures. The document outlines how to collect asset data, structure it for analysis and visualization, and create a web portal to monitor asset conditions and receive notifications. Implementing this CBM methodology can help organizations optimize maintenance processes and reduce costs through more efficient asset management.
The document provides an introduction to predictive maintenance. It outlines the objectives of the course, which are to define predictive maintenance programs and various condition monitoring techniques, including vibration analysis, lubrication analysis, ultrasonic analysis, and thermographic analysis. The agenda covers topics such as predictive maintenance, maintenance planning, vibration analysis, and thermal analysis. The document then begins discussing predictive maintenance in more detail, defining preventative maintenance, predictive maintenance, and condition monitoring. It explores patterns of equipment failure and how to monitor equipment condition.
The document discusses predictive maintenance in oil refineries using analytics. It notes that most refinery shutdowns are unplanned and due to mechanical failures. Traditional maintenance methods are reactive or preventive. Predictive analytics uses real-time equipment data and historical maintenance records to monitor equipment health and estimate remaining lifespan. This allows refineries to schedule maintenance more efficiently to avoid breakdowns and reduce downtime. The document provides examples of predictive algorithms and dashboards that can integrate data for predictive maintenance to optimize operations and supply chain processes. It estimates that a typical 100,000 bpd refinery could save over $3.5 million annually through predictive maintenance.
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
Predictive Maintenance in the Industrial Internet of ThingsTibbo
Predictive maintenance uses sensors and remote monitoring to analyze equipment performance data over time. This allows maintenance to shift from a schedule-based to a condition-based model. By monitoring key performance indicators and detecting patterns in the data, predictive systems can estimate time to failure and remaining useful life. This enables repairs to be performed proactively before equipment actually fails.
The document discusses plans for implementing a preventive maintenance program at a residential life facility. It outlines preparations like gathering equipment data, labeling systems, and preparing equipment. It describes the maintenance management system that will be used to schedule tasks. Implementing preventive maintenance is expected to save significant time on tasks like filter changes. Challenges may include social and technical factors, but the benefits of preventive maintenance in reducing costs and downtime outweigh these challenges.
Why predictive maintenance should be a combined effortWouter Verbeek
Predictive maintenance is an extremely promising maintenance strategy, but implementation often turns out to be way more complicated than expected. A lot of attempts to implement predictive maintenance strand at the same departments as where they were initiated. The key towards successful implementation of predictive maintenance is to combine the knowledge of all departments in making decisions. In this presentation we start by explaining, based on the subject of sensor selection, why involving your entire organization is so important. Afterwards we give advice on how to implement predictive maintenance, give examples based on the Strukton Worksphere case and discuss how to get your entire organization on board.
The Predictive Maintenance solution accelerator is an end-to-end solution for a business scenario that predicts the point at which a failure is likely to occur. Use this solution accelerator proactively to optimize maintenance and to create automatic alerts and actions for remote diagnostics, maintenance requests, and other workflows. The solution combines key Azure IoT services like IoT Hub and Stream analytic.
AML Analyser Management is a system that monitors, evaluates, and improves the performance of online and offline analyzers in a cost-effective manner. It automatically collects real-time data from analyzers and manually entered data to interpret analyzer performance, provide maintenance guidance, and support periodic validation processes. Control charts and statistical analysis are used to monitor accuracy, precision, and validate performance against standards. The system also tracks maintenance activities and operational states to calculate availability and reliability metrics for analyzers.
Cortana Analytics Workshop: Predictive Maintenance in the IoT EraMSAdvAnalytics
Danielle Dean. Predictive maintenance is a technique to predict when an in-service machine will fail so that maintenance can be planned in advance. Data-driven predictive maintenance, in particular, is gaining increasing attention in the industry along with the emerging demand of the Internet of Things (IoT) applications and the maturity of the supporting technologies. In this session we will present a real-world predictive maintenance example where the problem is formulated into three related questions via different machine learning models. A demonstration of how data flows through an end-to end-system, from ingesting the data to aggregating in real time to predicting based on historical data, will be done using tools such as Azure Machine Learning, Azure Stream Analytics, and Power BI. These technologies allow companies such as ThyssenKrupp Elevator to go from reactive to proactive and even predictive analysis of maintenance problems. Go to https://channel9.msdn.com/ to find the recording of this session.
GS&S provides diagnostic and remote diagnostic services for industrial machinery using their DASBOX system. They have mechanical engineers with condition monitoring certifications who perform on-site troubleshooting, testing, and data analysis. The DASBOX gathers diagnostic data from machines via common protocols and sensors to enhance monitoring and maintenance. It has customizable configuration, reliable operation, data storage and multiple monitoring functions. GS&S uses the DASBOX and their expertise to provide remote monitoring, performance analysis, and maintenance support to optimize customers' plant operations and productivity.
Predictive maintenance is a process that uses monitoring technologies and big data analysis to determine the condition of equipment in order to predict when maintenance should be performed. Sensors continuously collect machine component data which is sent to the cloud for analysis. By analyzing current and historical equipment data, anomalies can be predicted and addressed through planned maintenance to minimize downtimes and repair costs compared to traditional preventive maintenance approaches. Predictive maintenance allows businesses to reduce costs, increase productivity and safety through proactive maintenance strategies enabled by industrial IoT technologies.
Incorporating a predictive maintenance strategy has been proven to provide savings. Learn how to use your pressure and temperature gauges as part of your initiatives.
C&D Zodiac ADC has implemented a maintenance program consisting of five functions: planned maintenance, unplanned maintenance, predictive maintenance, preventive maintenance, and corrective maintenance. The goals of the program are to reduce production downtime and equipment failures through collecting, recording, and analyzing maintenance data. Within each maintenance type, C&D Zodiac ADC utilizes systems like MaintainIt and a SharePoint database to generate work orders, record maintenance tasks and issues, and track parts/labor to improve the maintenance process over time.
This document describes a software system called ExAMS that allows companies to manage explosive inspections and maintenance in a paperless workflow. It reduces administration costs by up to 80% by automating inspection routines, scheduling, and reporting. The software was developed based on 20 years of experience in hazardous inspections and complies with industry regulations. It provides features like predefined inspection routines, electronic signatures, scheduling, and RFID tagging to verify inspections were completed properly.
This document discusses state-based control and its benefits over traditional control systems. State-based control recognizes that processes operate in different states, such as running, startup, or shutdown, and the control system should change based on the current process state. This allows the control system to optimize for each state rather than just the running state. Some key benefits of state-based control include improved safety, reduced downtime, increased productivity, knowledge capture from experienced operators, and freeing up operators to manage processes at a higher level.
This document provides an introduction to computer auditing. It discusses the purpose and definition of computer auditing, as well as its origins and changing nature. It describes the role of computer auditors and the main areas of their work, including systems under development, live applications, IT infrastructure, and audit automation. For systems under development specifically, it outlines the importance of project management and the systems development life cycle, and notes the computer auditor's role in providing independent oversight of project management practices.
The document discusses Emerson's CSI 2130 Machinery Health Analyzer and AMS Suite: Machinery Health Manager software. The CSI 2130 is a portable vibration data collector that performs data collection, vibration analysis, alignment, and balancing to help identify developing faults. The AMS Suite software provides integrated asset health monitoring with tools for diagnosis, prognostics, and maintenance management to give users a comprehensive view of machinery health. Together, the CSI 2130 and AMS Suite are designed to simplify predictive maintenance and prioritize maintenance activities.
Wout Last and Juanita Karreman gave a presentation on Hint, an engineering and IT services company specializing in metering and allocation solutions from engineering to billing. The presentation covered Hint's professionals, engineering and IT solutions, and maintenance and support services. Hint provides solutions for custody transfer metering, analyzer management, allocation measurements, and production and reservoir management to optimize accuracy and reduce costs.
Future-Proofing Asset Failures with Cognitive Predictive MaintenanceAnita Raj
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
Computer-Assisted Audit Tools and Techniques_supriadi
Be familiar with the classes of transaction input controls used by accounting applications.
Understand the objectives and techniques used to implement processing controls, including run-to-run, operator inventions, and audit trail controls.
Understand the methods used to establish effective output controls for both batch and real-time systems.
This document discusses condition based maintenance (CBM). It begins by defining CBM as using real-time sensor data to identify developing faults before they become critical in order to better plan maintenance. It then lists some benefits of CBM such as improved productivity, quality, and profitability. The document goes on to describe common CBM methods like vibration monitoring, temperature monitoring, and lubricant analysis. It notes that CBM can result in cost savings of 8-12% compared to preventive maintenance alone. The document concludes by giving some examples of industrial applications for CBM.
Cognitive Predictive Maintenance for AutomotiveAnita Raj
In a world grappling with unanswered challenges and hidden data, the need of the hour is to unravel the dark mysteries that surround the auto industry today. It’s time to change the machine game and unlock the true human potential. It’s time to improve the overall quality of life for workers and passengers and ensure no leaf is unturned when it comes to safety and efficiency. Cognitive predictive maintenance is the game changer, that holds the key to minimizing auto recall.
This document summarizes key points about managing vendor issues in AMI design projects. It discusses the growing capabilities of smart meters and stakeholders involved in AMI projects. It emphasizes the importance of change management in vendor qualification, certification, and acceptance testing to mitigate risks from new features and constant updates. The presentation provides examples of test functions and recommends utilities take an active role in change management systems through vendor contracts and transition planning to minimize risks and maximize benefits of AMI deployments.
Operational testing with employee performance tracking for compliance CloudMoyo
For railroads, tracking employee performance and ensuring they align with regulatory safety standards, operating procedures are important parts of ensuring safety and security in the organization.
However, without an effective ops testing program and access to consolidated tools for tracking employee accountability due to lack of visibility into employee history (like demerits, drug and alcohol testing failures, or verbal cautions) across locations, Labor Relations, and railroads meeting safety goals becomes challenging.
Find out how railroads today can ensure effective ops testing with performance tracking to build employee accountability for safety compliance. Ashok will share tips to build a robust ops testing program, how to track employee performance through accountability tools and help labor relations to improve safety, including best practices to respond to violations and set up policies to track employee performance.
Predictive Maintenance in the Industrial Internet of ThingsTibbo
Predictive maintenance uses sensors and remote monitoring to analyze equipment performance data over time. This allows maintenance to shift from a schedule-based to a condition-based model. By monitoring key performance indicators and detecting patterns in the data, predictive systems can estimate time to failure and remaining useful life. This enables repairs to be performed proactively before equipment actually fails.
The document discusses plans for implementing a preventive maintenance program at a residential life facility. It outlines preparations like gathering equipment data, labeling systems, and preparing equipment. It describes the maintenance management system that will be used to schedule tasks. Implementing preventive maintenance is expected to save significant time on tasks like filter changes. Challenges may include social and technical factors, but the benefits of preventive maintenance in reducing costs and downtime outweigh these challenges.
Why predictive maintenance should be a combined effortWouter Verbeek
Predictive maintenance is an extremely promising maintenance strategy, but implementation often turns out to be way more complicated than expected. A lot of attempts to implement predictive maintenance strand at the same departments as where they were initiated. The key towards successful implementation of predictive maintenance is to combine the knowledge of all departments in making decisions. In this presentation we start by explaining, based on the subject of sensor selection, why involving your entire organization is so important. Afterwards we give advice on how to implement predictive maintenance, give examples based on the Strukton Worksphere case and discuss how to get your entire organization on board.
The Predictive Maintenance solution accelerator is an end-to-end solution for a business scenario that predicts the point at which a failure is likely to occur. Use this solution accelerator proactively to optimize maintenance and to create automatic alerts and actions for remote diagnostics, maintenance requests, and other workflows. The solution combines key Azure IoT services like IoT Hub and Stream analytic.
AML Analyser Management is a system that monitors, evaluates, and improves the performance of online and offline analyzers in a cost-effective manner. It automatically collects real-time data from analyzers and manually entered data to interpret analyzer performance, provide maintenance guidance, and support periodic validation processes. Control charts and statistical analysis are used to monitor accuracy, precision, and validate performance against standards. The system also tracks maintenance activities and operational states to calculate availability and reliability metrics for analyzers.
Cortana Analytics Workshop: Predictive Maintenance in the IoT EraMSAdvAnalytics
Danielle Dean. Predictive maintenance is a technique to predict when an in-service machine will fail so that maintenance can be planned in advance. Data-driven predictive maintenance, in particular, is gaining increasing attention in the industry along with the emerging demand of the Internet of Things (IoT) applications and the maturity of the supporting technologies. In this session we will present a real-world predictive maintenance example where the problem is formulated into three related questions via different machine learning models. A demonstration of how data flows through an end-to end-system, from ingesting the data to aggregating in real time to predicting based on historical data, will be done using tools such as Azure Machine Learning, Azure Stream Analytics, and Power BI. These technologies allow companies such as ThyssenKrupp Elevator to go from reactive to proactive and even predictive analysis of maintenance problems. Go to https://channel9.msdn.com/ to find the recording of this session.
GS&S provides diagnostic and remote diagnostic services for industrial machinery using their DASBOX system. They have mechanical engineers with condition monitoring certifications who perform on-site troubleshooting, testing, and data analysis. The DASBOX gathers diagnostic data from machines via common protocols and sensors to enhance monitoring and maintenance. It has customizable configuration, reliable operation, data storage and multiple monitoring functions. GS&S uses the DASBOX and their expertise to provide remote monitoring, performance analysis, and maintenance support to optimize customers' plant operations and productivity.
Predictive maintenance is a process that uses monitoring technologies and big data analysis to determine the condition of equipment in order to predict when maintenance should be performed. Sensors continuously collect machine component data which is sent to the cloud for analysis. By analyzing current and historical equipment data, anomalies can be predicted and addressed through planned maintenance to minimize downtimes and repair costs compared to traditional preventive maintenance approaches. Predictive maintenance allows businesses to reduce costs, increase productivity and safety through proactive maintenance strategies enabled by industrial IoT technologies.
Incorporating a predictive maintenance strategy has been proven to provide savings. Learn how to use your pressure and temperature gauges as part of your initiatives.
C&D Zodiac ADC has implemented a maintenance program consisting of five functions: planned maintenance, unplanned maintenance, predictive maintenance, preventive maintenance, and corrective maintenance. The goals of the program are to reduce production downtime and equipment failures through collecting, recording, and analyzing maintenance data. Within each maintenance type, C&D Zodiac ADC utilizes systems like MaintainIt and a SharePoint database to generate work orders, record maintenance tasks and issues, and track parts/labor to improve the maintenance process over time.
This document describes a software system called ExAMS that allows companies to manage explosive inspections and maintenance in a paperless workflow. It reduces administration costs by up to 80% by automating inspection routines, scheduling, and reporting. The software was developed based on 20 years of experience in hazardous inspections and complies with industry regulations. It provides features like predefined inspection routines, electronic signatures, scheduling, and RFID tagging to verify inspections were completed properly.
This document discusses state-based control and its benefits over traditional control systems. State-based control recognizes that processes operate in different states, such as running, startup, or shutdown, and the control system should change based on the current process state. This allows the control system to optimize for each state rather than just the running state. Some key benefits of state-based control include improved safety, reduced downtime, increased productivity, knowledge capture from experienced operators, and freeing up operators to manage processes at a higher level.
This document provides an introduction to computer auditing. It discusses the purpose and definition of computer auditing, as well as its origins and changing nature. It describes the role of computer auditors and the main areas of their work, including systems under development, live applications, IT infrastructure, and audit automation. For systems under development specifically, it outlines the importance of project management and the systems development life cycle, and notes the computer auditor's role in providing independent oversight of project management practices.
The document discusses Emerson's CSI 2130 Machinery Health Analyzer and AMS Suite: Machinery Health Manager software. The CSI 2130 is a portable vibration data collector that performs data collection, vibration analysis, alignment, and balancing to help identify developing faults. The AMS Suite software provides integrated asset health monitoring with tools for diagnosis, prognostics, and maintenance management to give users a comprehensive view of machinery health. Together, the CSI 2130 and AMS Suite are designed to simplify predictive maintenance and prioritize maintenance activities.
Wout Last and Juanita Karreman gave a presentation on Hint, an engineering and IT services company specializing in metering and allocation solutions from engineering to billing. The presentation covered Hint's professionals, engineering and IT solutions, and maintenance and support services. Hint provides solutions for custody transfer metering, analyzer management, allocation measurements, and production and reservoir management to optimize accuracy and reduce costs.
Future-Proofing Asset Failures with Cognitive Predictive MaintenanceAnita Raj
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
Computer-Assisted Audit Tools and Techniques_supriadi
Be familiar with the classes of transaction input controls used by accounting applications.
Understand the objectives and techniques used to implement processing controls, including run-to-run, operator inventions, and audit trail controls.
Understand the methods used to establish effective output controls for both batch and real-time systems.
This document discusses condition based maintenance (CBM). It begins by defining CBM as using real-time sensor data to identify developing faults before they become critical in order to better plan maintenance. It then lists some benefits of CBM such as improved productivity, quality, and profitability. The document goes on to describe common CBM methods like vibration monitoring, temperature monitoring, and lubricant analysis. It notes that CBM can result in cost savings of 8-12% compared to preventive maintenance alone. The document concludes by giving some examples of industrial applications for CBM.
Cognitive Predictive Maintenance for AutomotiveAnita Raj
In a world grappling with unanswered challenges and hidden data, the need of the hour is to unravel the dark mysteries that surround the auto industry today. It’s time to change the machine game and unlock the true human potential. It’s time to improve the overall quality of life for workers and passengers and ensure no leaf is unturned when it comes to safety and efficiency. Cognitive predictive maintenance is the game changer, that holds the key to minimizing auto recall.
This document summarizes key points about managing vendor issues in AMI design projects. It discusses the growing capabilities of smart meters and stakeholders involved in AMI projects. It emphasizes the importance of change management in vendor qualification, certification, and acceptance testing to mitigate risks from new features and constant updates. The presentation provides examples of test functions and recommends utilities take an active role in change management systems through vendor contracts and transition planning to minimize risks and maximize benefits of AMI deployments.
Operational testing with employee performance tracking for compliance CloudMoyo
For railroads, tracking employee performance and ensuring they align with regulatory safety standards, operating procedures are important parts of ensuring safety and security in the organization.
However, without an effective ops testing program and access to consolidated tools for tracking employee accountability due to lack of visibility into employee history (like demerits, drug and alcohol testing failures, or verbal cautions) across locations, Labor Relations, and railroads meeting safety goals becomes challenging.
Find out how railroads today can ensure effective ops testing with performance tracking to build employee accountability for safety compliance. Ashok will share tips to build a robust ops testing program, how to track employee performance through accountability tools and help labor relations to improve safety, including best practices to respond to violations and set up policies to track employee performance.
This document contains slides from a presentation on managing vendor issues in AMI design. It discusses the growing capabilities and stakeholders involved in metering technologies, from traditional meters to first generation smart meters. It emphasizes the importance of change management in AMI deployment to mitigate risks from new features, bugs, and constant improvements. Specifically, it recommends utilities take an active role in vendor qualification, certification testing, acceptance testing, and contract management to establish checks and balances as the industry rapidly advances metering technologies.
ARC's Greg Gorbach's Global Manufacturing Presentation at ARC's 2008 Industry...ARC Advisory Group
The document discusses trends in operations management (OM) and manufacturing execution systems (MES) that are driving manufacturers to invest more in plant floor IT systems. It outlines the business requirements facing manufacturers today, such as globalization, rapid innovation, compliance, and real-time performance needs. However, older manufacturing systems have not kept pace with these demands. The document then examines three pillars of modern OM solutions: infrastructure, connectivity, and functions/processes. It provides examples of key OM functions like production planning, execution, and product data tracking that new systems must support.
Leading Indicator Program OverView Rev APhil Rochette
The document describes a leading indicator program that uses statistical analysis of process and equipment data to identify issues and drive continuous improvement. The program monitors yields, equipment performance, electrical parameters and identifies "maverick" lots to prevent defects. It aims for zero defects through closed-loop corrective actions based on real-time data analysis across manufacturing operations.
In December 2023 we started a series of three webinars about the theme "asset management enabling technologies". In these webinars, we discuss the different aspects of connectivity and the enabling technologies, which in our opinion is crucial for the successful operation of your assets.
In this third webinar, Johan Ferket and Pieter Wielemaker will focus on three important items in the Asset Performance Management (APM) journey: transformational planning, tool and software evaluation and performance tracking.
They will provide answer to the questions:
- What are the main stage gates in the APM Roadmap?
- Which tooling and software are best suited for your situation: how to evaluate and choose?
- How to close the loop: APM performance tracking?
The document provides an overview of the FAA's Aviation Safety and Efficiency business units, ATO service units, and IT enterprise services including application solutions, information delivery, user and infrastructure support, software development, enterprise framework, user management, business intelligence, and program enablers like quality assurance and control. It also lists services provided and recommendations.
The document provides an overview of the FAA's Aviation Safety and Efficiency business units, ATO service units, and IT enterprise services including application solutions, information delivery, user and infrastructure support, software development, enterprise framework, user management, business intelligence, and program enablers like quality assurance and control. It also lists services provided and recommendations.
Condition-Based Maintenance Basics by Carl Byington - PHM Design, LLCCarl Byington
Condition-based maintenance (CBM or CBM+) is a strategy of performing maintenance on a machine or system only when there is objective evidence of need or impending failure. CBM is enabled by the evolution of key technologies, including improvements in - sensors, microprocessors, digital signal processing, simulation modeling, multisensor data fusion, reliability engineering, Internet of Things (IoT) connectivity, data warehousing, cloud computing, machine learning (ML), artificial intelligence (AI), and predictive analytics. CBM involves monitoring the health or performance of a component or system and performing maintenance based on that inferred health and in some cases, predicted remaining useful life (RUL). This predictive maintenance philosophy contrasts with earlier ideologies, such as corrective maintenance — in which action is taken after a component or system fails — and preventive maintenance — which is based on event or time milestones. Each involves a cost tradeoff.
Carl Byington with PHM Design, LLC reviews some of the elements of CBM.
#phmdesign
https://phmdesign.com
Root Cause Analysis (RCA) is a structured process that identifies the underlying causes of undesirable events. It can be used for both single and multidisciplinary cases. The RCA process involves data collection, identifying the immediate causes and basic causes of failures, and determining where lack of control contributed. Common investigation techniques include STEP, FMEA, and fault tree analysis. Laboratory analysis of failed parts is also important for identifying causes like material defects, corrosion, or overloading. Identifying root causes allows corrective actions to be implemented to prevent future recurrence.
Root Cause Analysis (RCA) is a structured process that identifies the underlying causes of undesirable events. It can be used for both single and multidisciplinary cases. The RCA process involves data collection, identifying the immediate causes and basic causes of failures, and determining the lack of controls that allowed the failure to occur. Conducting detailed analysis of failed parts through methods like STEP, FMEA, and FTA allows investigators to identify issues like material defects, improper operation, or inadequate maintenance as the root causes of failures. Addressing these root causes helps improve equipment reliability and availability while reducing maintenance costs and downtime.
The document discusses the key components of an Internet of Things system from data acquisition through analysis and action. It describes how sensors collect data at the edge, that data is then stored, organized, analyzed and used to take action. Finally, it provides connectivity and transport of data between devices and platforms in the cloud to complete the loop from sensing to insight to outcome.
Robotic Process Automation (RPA) Webinar - By Matrix-IFSIdan Tohami
(1) RPA can automate repetitive tasks in financial crime compliance like AML/KYC to reduce manual work and costs. It allows focusing investigator time on more complex cases.
(2) The document discusses how RPA can enhance operations throughput by automating tasks like external data retrieval and form filling. A case study shows an organization improved alerts processed per day from 200 to 1200 using RPA.
(3) The presentation recommends organizations first assess their operations to identify automation opportunities, then start with a pilot RPA project and scale up based on proven value and ROI. RPA benefits include faster processes, accuracy, and scalability with business needs.
SPUMAINT is a browser-based maintenance management software provided by SPUDWEB Technologies. It features condition-based and time-based preventative maintenance, financial and cost management, asset lifecycle tracking, inventory optimization, predictive maintenance, and advanced analytics and reporting capabilities. The software allows users to schedule and track maintenance work orders, monitor asset performance and efficiency metrics, and analyze inventory usage and costs to improve maintenance operations and reduce costs.
The document discusses maintenance management and provides an overview of key concepts. It defines maintenance as work done to keep or restore a facility to an acceptable standard level. It discusses total maintenance costs and different maintenance policies including failure-based, time-based, condition-based, and risk-based approaches. It also compares different global maintenance strategies like total productive maintenance and optimized systems maintenance.
This document discusses measuring and improving maintenance performance. It introduces structured auditing as a method to evaluate maintenance systems using standardized factors and metrics. Key performance indicators can also be used and classified by input, output, and internal system measures. Benchmarking involves comparing performance to competitors and industry leaders to identify gaps and best practices for improvement. The key is establishing metrics, conducting regular audits and analysis, prioritizing deficiencies, implementing corrective actions, and continually measuring outcomes to drive maintenance performance improvement. Management commitment to continuous improvement is essential to sustaining this process.
The document discusses fault management and configuration management processes. It provides definitions and maps of the fault management process, which involves monitoring network health, detecting faults, repairing and recovering from faults, checking network quality, and recording fault resolutions. Key performance indicators for fault management functions include being responsive, accurate, complete, and minimizing network downtime.
Attached is a file where I made a long list of potential data requests when starting a Supply Chain or Operations project at a client. Forgive the list not being comprehensive or clean, just thought people might benefit from not having to start from nothing.
Enabling the next generation airport at DXBAmor Group
Airport Exchange 2011 saw ACI Europe and Asia Pacific come together in the premier industry event at which expertise is shared, business relationships are formed and industry development is the principal goal.
See how Amor is enabling the real time airport at Dubai International through a comprehensive technology ecosystem.
Similar to Webinar | Condition monitoring, continuous condition monitoring or APM4.0? (20)
Stork Webinar | Wetgeving en reductie van schadelijke emissies - 5 juni 2024Stork
De wetgeving op het terrein van emissies wordt alsmaar scherper. Het Europees Parlement heeft afgelopen november een voorlopig politiek akkoord bereikt over de verordening om methaanuitstoot in de olie-, gas- en steenkoolsector te verminderen. Met deze verordening zullen exploitanten lekken moeten opsporen, rapporteren en repareren volgens ambitieuze tijdschema's en reparatietijden.
Maar ook emissies van andere vluchtige koolwaterstoffen en in ander sectoren leveren onveilige situaties en milieuschade op. Bij bijna 5% van de installatiecomponenten komen immers ongewenste emissies vrij.
In dit webinar bespreken experts Geert-Henk Wijnants en Sebastiaan Niessen de regelgeving, voorschriften en methoden die helpen om onbedoelde lekkages bij flenzen te ontdekken, verhelpen en voorkomen. Dit alles met het doel om, met een structurele aanpak, ongewenste verliezen, onveilige situaties en milieuschade te voorkomen en ‘in control’ te komen.
Stork webinar | Voordelen van een deaerator retrofitStork
Veel bedrijven hebben tray-type ontgassers in bedrijf en weten niet dat de relatief eenvoudige ombouw naar spray-type ontgassers tot enorme besparingen kan leiden!
Het ombouwen van een tray-type naar een spray-type ontgasser resulteert in betere prestaties, lagere TCO (geen onderhoudsvereisten) en verbeterde duurzaamheid. Het leidt tot een lager energieverbruik, minder stoomverlies en de overbodigheid van zuurstofafvangers, wat milieuvervuiling tegen gaat. Dit ombouwproces is minder ingewikkeld en heeft een kortere terugverdientijd dan je zou denken.
In dit webinar bespreken Joyce Logman en Alex Heino de voordelen van de ontgasser ombouw op de bovengenoemde onderdelen. Zij leggen uit welk effect de overstap van tray-type naar spray-type heeft op duurzaamheid en potentiële kostenbesparingen. Daarnaast wordt er besproken hoe een retrofit er grofweg uitziet, van engineering tot inbedrijfstelling.
Stork Webinar | Planning a successful APM journey - 6 March 2024Stork
In December 2023 we started a series of three webinars about the theme "enabling technologies". In these webinars, we'll discuss the different aspects of connectivity and its enabling technologies, which in our opinion is crucial for successful future operations.
In this second webinar we will explain the role of planning in a successful industrial digitization journey: Asset Performance Management (APM). We'll provide answers to the questions:
• What is the value of an APM roadmap?
• How to develop an APM roadmap?
• Who to involve and connect in roadmap construction: CIO, Inspection Management, Reliability Management, Process Safety, Production/Operations
• How to define your Asset Management objectives, prioritize and translate them into a Business case for an APM Implementation?
This webinar on connectivity has the topic: 'Asset Management Enabling Technologies'. During this webinar, Johan Ferket and Pieter Wielemaker discuss the connectivity between processes, people and technology. They answer the questions:
- What are EAM, APM and AIP and how do they relate to each other?
- How can these technologies facilitate people and processes?
- What are the best practices to connect the above?
- Why only good implementation ensures the right connectivity between people, processes and technology.
In dit webinar gaan we in op business ecosystemen: netwerken van mensen en organisaties met een gemeenschappelijk doel, zoals het faciliteren van de energietransitie. Bijvoorbeeld het ecosysteem voor de ontwikkeling van de waardeketen rondom waterstof. Met ecosystemen kun je producten en services van partners tot een unieke overkoepelende (ecosysteem) waardepropositie combineren. Hoe sterker het ecosysteem, hoe groter de mogelijke waarde en concurrentievoordeel.
In dit webinar geven Johan Ferket en Niels Meerdink antwoord op de vragen:
• Wat is een business ecosteem?
• Wat zijn de voordelen van werken met ecosystemen?
• Wat zijn uitdagingen en valkuilen?
• Welke succesvolle voorbeelden zijn er?
Na dit webinar weet je wat de waarde kan zijn van business ecosystemen in bijvoorbeeld de energietransitie.
Improving Asset Management performance using Balanced Scorecards
Managing the performance of an asset-intensive organization is a strategic activity. The crucial aspect of performance management is the alignment of the strategies at the corporate level with those at the functional/operational level. We also include asset management at this functional level. The purpose of using Balanced ScoreCards (BSC) is to effectively manage the mission, vision, purpose, goals and objectives within an organization.
In this webinar, Stork AMT provides an outline of how the effective use of Balanced Scorecards can help organizations align their asset management strategy with the organizational strategy and how the BSC can help translate asset management objectives into tangible , recognizable actions, where you maintain a balance between costs, risks and performance.
In dit derde webinar in deze serie over waterstof staan we stil bij de consequenties van de introductie van waterstof voor jou als asset manager en voor jouw organisatie.
Bram Hes en Martijn Holt gaan in dit webinar onder meer in op de volgende vragen:
- Wat zijn de voornaamste uitdagingen bij de introductie van waterstof, afhankelijk van de positie in de waardeketen?
- Wat is het tijdspad en wanneer moet je beginnen?
- Hoe bereid je je voor op de introductie van waterstof? Waar moet je aan denken?
- Hoe ziet een roadmap voor jouw type organisatie eruit?
In dit tweede webinar in een serie van drie over waterstof staan we stil bij competenties die noodzakelijk zijn om de waterstof-(r)evolutie waar te kunnen maken. Willem Hazenberg geeft in dit webinar onder meer antwoord op de volgende vragen:
- Wat is het effect van de groeiende waterstofindustrie op de werkgelegenheid?
- Welke functies zijn er nodig en momenteel beschikbaar in de waterstofindustrie en -netwerken?
- Wat zijn de vereisten voor deze functies qua opleidingsniveau?
- Wat zijn de essentiële basiskennis, vaardigheden en specifieke competenties en hoe kunnen deze het meest effectief worden aangeleerd?
- Tot welke diepte moet men kennis hebben over waterstoftechnologie om een effectieve bijdrage aan de industrie te kunnen leveren?
De laatste ontwikkelingen in de waterstofmarkt.Stork
De introductie van nieuwe energievormen leidt vrijwel altijd tot kip-ei discussies ten aanzien van vraag, aanbod, infrastructuur en benodigde competenties. Dit was en is het geval bij elektrisch rijden, en ook nu bij waterstof. Wat betekent dit voor u als asset owner of asset manager? Dit is een van de vragen die aan bod komen in onze serie webinars over waterstof.
In dit eerste webinar van de serie staan we stil bij de laatste stand van zaken rondom de waterstof initiatieven in de Benelux.
Grip krijgen op ongewenste emissies bij flensverbindingen.
Bij bijna 5% van de installatiecomponenten komen immers ongewenste emissies vrij. Als die emissies vluchtige koolwaterstoffen zijn, dan leveren ze, naast potentieel onveilige situaties, hoogstwaarschijnlijk ook schade op voor het milieu.
In dit webinar bespreken experts Sebastiaan Niessen en Quinten Hoven methoden en technieken die je kunnen helpen om onbedoelde lekkages bij flenzen te voorkomen en, wanneer er lekkage optreedt, deze zo snel mogelijk te ontdekken en te verhelpen. Dit alles met het doel om, met een structurele aanpak, ongewenste verliezen, onveilige situaties en milieuschade te voorkomen.
Webinar | Digitale transformatie in the praktijk: de pompskidStork
Pompskid: de praktijk van het gebruik van data voor inzicht in de prestaties van assets.
Dit derde webinar in een serie van drie over digitale transformatie kent een heel praktisch karakter. Tijdens de presentatie laten we in samenwerking met IBM zien wat er mogelijk is op het gebied van gebruik van data voor prestatieverbetering van assets.
In samenwerking met Corevision, ABB en IBM heeft Stork heeft een pompopstelling gebouwd. Op deze pompskid zijn slimme sensoren beschikbaar om innovaties te testen. Er wordt gebruik gemaakt van software van IBM om de gegevens te analyseren en te visualiseren en van hardware van CoreVision om gegevens naar het IBM-platform in bruikbaar formaat te sturen.
Ludolf Pijpker toont de mogelijkheden van dit platform met de pompskid. Hiernaast geeft hij een demo van een Holo-lens applicatie. Vervolgens licht Ronald Teijken een aantal use cases toe over Maximo Visual Inspection (MVI) aan de hand van de pompskid. Ook demonstreert hij hoe MVI met gebruik van Artificial Intelligence (AI) afwijkingen kan ontdekken en dus visuele inspecties kan vervangen.
Er zijn veel verschillende definities en interpretaties van een Digital Twin - een digitale tweeling - dus het kan zijn dat niet iedereen hetzelfde beeld heeft over wat het is, waar het voor wordt gebruikt, wat er mee mogelijk is en hoe het mogelijk voor jou werkt.
In dit Webinar maak je kennis met het begrip Digital Twin en de toegevoegde waarde ervan, met name in de Operate & Maintain fase van een levenscyclus van een Asset. We geven antwoord op vragen zoals:
- welke elementen zitten er in de Digital Twin
- wat is er op de markt
- welke voorbeelden van implementaties zijn er
- wat de link is met Industrie 4.0
- wat is de toegevoegde waarde.
Stork Webinar | Digital Transformation AssessmentStork
In dit webinar wordt aan de hand van voorbeelden uit de praktijk uitgelegd hoe een assessment kan helpen jouw positie op ladder van digitalisering binnen asset management te bepalen, om doelstellingen vast te leggen om tot een pragmatische aanpak te komen en hoe de gaten te overbruggen tussen doelstelling en praktijk met acties die reëel, praktisch en geprioriteerd zijn.
In this webinar, Alex Heino discusses the function of the deaerator and the different types of deaerators with their characteristics.
He explains the effect switching from tray type to spray type has on performance, sustainability and potential cost savings.
He also provides guidance on your business case for converting from a tray to a spray type deaerator.
This document provides a summary of a webinar on decarbonization budgets and priorities. It begins by noting that participants can ask questions via the Q&A function in Zoom and that all participants will be muted during the session. The webinar is part of a three-part series on decarbonization topics. It will discuss master planning for decarbonization, including defining goals and risks. It notes that decarbonization programs will have different natures depending on the timeframe, from monitoring in the short-term to installing new technologies in the long-term. The webinar emphasizes that the most sustainable energy is energy savings and that there is no single solution, but a good approach considers constraints
Stork webinar | Decarbonisering: aanpak en toolingStork
n dit tweede van drie webinars over decarbonisering van de industrie kijken we vanuit het Asset Management perspectief naar een aanpak en tooling die van pas komen bij decarbonisering.
Bram Hes en Bart Desmet, consultants bij Stork Asset Management Technology, schetsen de aanpak voor 'decarbonisering masterplanning' en verschillende tools die je in het Asset management proces rondom decarbonisering kunt gebruiken.
In dit eerste van drie webinars over decarbonisering van de industrie kijken we vanuit het Asset Management perspectief naar de ontwikkelingen die de energietransitie en circulaire economie met zich meebrengen. Bram Hes en Jack Doomernik, consultants bij Stork Asset Management Technology, schetsen de noodzaak en urgentie en hoe hiermee kan worden omgegaan.
De aanpassingen aan uw installaties zijn veelal ingrijpend. Een goed inzicht in de urgentie is noodzakelijk om draagvlak te creëren in uw organisatie en alle initiatieven vanuit verschillende afdelingen op één lijn kunnen te krijgen.
Future-proof industrial assets with circular strategiesStork
Bijna de helft van de koolstof emissies is product gerelateerd en de beschikbaarheid van grondstoffen wordt steeds kritischer. Op weg naar een duurzame samenleving is het onvermijdelijk om de lineaire economie van “take-make-dispose” te doorbreken door de toepassing van circulaire strategieën. Maar wat betekent dit voor de industrie, en welke bijdrage kan Asset Management hieraan leveren?
In dit webinar schetsen Jack Doomernik en Erika Kuo mogelijke rollen die Asset Management kan spelen in circulariteit. Zij presenteren een aanpak met vier oplossingsrichtingen waarmee u uw uitdagingen in circulariteit te lijf kunt gaan
Webinar | Omgaan snel met veranderende wetgeving in duurzaamheid.pptxStork
De ontwikkeling van normen en wetgeving met betrekking tot duurzaamheid gaat razendsnel. Om als bedrijf compliant te zijn en te blijven is dan ook een flinke uitdaging. In dit webinar schetsen Bart Desmet en Geert-Henk Wijnants, principal consultants bij Stork Asset management Technology, een overzicht van wat er op Europees niveau op ons af komt. Ook gaan zij in op een gestructureerde aanpak waarmee bedrijven kunnen werken aan hun compliancy en hoe men ook in de toekomst de license to operate zeker kan stellen.
Hoe lossen we het tekort aan reliability & maintenance engineers op?Stork
De industrie kampt met een structureel tekort aan goed geschoold technisch personeel. Dit probleem verergert als gevolg van de grote groep technici die de komende jaren met pensioen gaat. In het onderhoud manifesteert dit zich ook in de beschikbaarheid van Maintenance en Reliability engineers. Cruciale functies voor gedegen onderhouds- en asset management. Dit tekort overstijgt markten en sectoren en manifesteert zich zowel bij asset owners en asset managers als bij consultancy dienstverleners en onderhoudsservice bedrijven.
In dit interactieve webinar gaan we nader in op deze problematiek en op mogelijke oplossingen, waaronder het concept van de een Stork- RE/ME academie. Dit nieuwe concept willen we met de webinar deelnemers bespreken en valideren.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
2. ASSET MANAGEMENT AND
9 APRIL, 2020 2
ASSET PERFORMANCE MANAGEMENT
Asset Management Governance
Risk Management
AM
performances
&
Improvements
Management Plans& Strategy
Asset Service
ProvidingAM Policy. AM Concepts AM Plans
AM Analysis
AM strategy
(existing/new)
AM objectives
AM policy Criticality analyses
Spare
parts
concept
Engineering
improvemen
t concept
Operating
concept
Maintenanc
e
concept
Compliance
& integrity
concept
Data &
docum.
concept
Contingen
cy concept
LT Asset Plan
MT Asset Plan
Project Portfolio
Asset Budget
Asset
utilization/
operation
Asset
care
Asset
acquire/
Creation
Asset
disposal
Supportive processes
Asset
improvement
Information
publishing
Management
Review
Failure,
incid., & non
conf.
analyses
Compliance
analysis
Improvement
actions
Audit
Asset data
& records
Performance
&
condition
monitoring
AM organization AM people AM infrastructure
MAINTENANCE STRATEGIES
• Condition Based Maintenance
• Condition monitoring
• Predictive maintenance
• Time Based Maintenance
• Run to Failure
Asset Management Processes
3. 9 APRIL, 2020 3
DIGITAL LINE OF SIGHT
Data analytics,
Machine Learning,
Condition Monitoring
Process flows,
procedures,
work instructions
Design settings
Manuals, P&ID’s and drawings
CAD and Reality models
Asset Health and Condition
KPI’s
7. CURRENT RISK BASED APPROACH
9 APRIL, 2020 7
When the equipment to analyze has been
selected, just like in RCM we ask:
• What are its functions?
• In what ways can it fail?
• What causes it to fail?
• What happens when it fails?
• Does it matter that it fails?
• Can anything be done to predict
or prevent the failure?
• What if we cannot predict or prevent
the failure?
8. 9 APRIL, 2020 8
CURRENT RISK BASED APPROACH
MAINTENANCE STRATEGIES
• Condition Based Maintenance
• Condition monitoring
(offline – online)
• Predictive maintenance
(APM 4.0)
• Time Based Maintenance
• Run to Failure
9. PROACTIVE MAINTENANCE
9 APRIL, 2020 9
TIME BASED VERSUS CONDITION BASED MAINTENANCE
The vast majority of failure patterns (89%)
shows no evidence of wear out
and cannot be covered effectively
by time based maintenance strategies.
10. MANAGING THE P-F CURVE
9 APRIL, 2020 10
THE GOAL OF CONDITION BASED MAINTENANCE
The goal of CBM is to detect potential
failures in due time and take action
before the actual failure happens.
The time from the potential failure (P)
to the functional failure (F)
is called the P-F interval.
11. DIFFERENCES CONDITION MONITORING
9 APRIL, 2020 11
AND APM RELATED TO LEAD TIME OF FAILURES
Failure Signature
Process Data (across many sensors)
Maintenance Data
Alarm @ trips
Using Data Analytics Software
Making Prediction Models
(Machine Learning)
HUMANS CANNOT DO THIS
Very early detection:
Long Lead time
Asset Performance Management 4.0
F
Periodical on site
monitoring
Short Lead Time
Offline Condition Monitoring
Failure of Asset
HealthcareDiagnoses Preventing
previous
incidents
Much earlier detection of
Potential Failure
Extra Lead Time
Online Condition Monitoring
Trends
analysis
Wireless
hardware
Analysed at Stork
monitoring
software
P
12. OFFLINE CONDITION
9 APRIL, 2020 12
MONITORING
Vibration monitoring
Visual camera inspections
Oil analyses
METHODS
Periodic
One-off
Low costs High flexibility High precision
Vibration monitoring
SERVICES
13. ONLINE CONDITION MONITORING
9 APRIL, 2020 13
CONTINUOUS & REMOTE
Continuous
monitoring and
control
Full machine
historical data
available
Remote
monitoring
14. APM 4.0
9 APRIL, 2020 14
HIGH LEVEL STEPS Connect Monitor Predict Action
Shared Learning
(Tribal Learning)Cloud
Storage
Data analytics Machine Learning
(Helps Identify Normal & Failure Patterns)Data
threatment
Enrichment
Cleaning
Role editing
Client
Workorders & Notifications
Additional sensor data
Maintenance Data
Plant History
Operational Data
Process and Asset data
(revolutions, torque, temperature, flow …)
Additional sensor data
Vibrations
Acoustic
Leak detection
Visualization of Performance
Prescriptive Responses
(Retain and share knowledge)
Continual Learning
(Improvement Loop)
15. SUMMARY
9 APRIL, 2020 15
CONDITION BASED MAINTENANCE
Maintenance Strategy Criteria:
• Impact on business goals
• Production loss
• Maintenance cost
• Damage
• Reputation
• Quality product
• Process inefficiency
• Data availability and quality
• Process
• Maintenance
• Complexity (influence factors)
• Human (use, operating)
• Asset (technical)
• External (weather, other
assets, logistics)
1: Offline
2: Online
3: APM 4.0
Remote trend analysis
Remote troubleshooting
Periodic on site monitoring
Trend analysis & troubleshooting
Monitoring solutions
Solution Selection
Questionnaire
Predictive models,
Recommendation
Rotating
Electrical
Instrumentation
Static
Automation
Discipline Typical
Pump
Blower
Turbine
Gears
Field Equipment
16. ASSET OBJECTIVES
9 APRIL, 2020 16
DIGITAL LINE OF SIGHT
AIM Asset type Equipment type Failure mode Strategy Health indicators
Pump
Blower
Turbine
Gears
Bearing Wear
• Fatigue …
Mechanical Seal
• Leaks
• …
• Run to failure
• Time Based
Maintenance
• Condition
Monitoring (offline)
• Condition
Monitoring (online)
• Data analytics
• Machine Learning
Manual data
Sensor data:
• Temperature
• Pressure
• Leaks
• Flow
• Vibration
• Sound (Acoustic)
Algorithm
Anomaly
17. APM PROGRAM EXPERIENCES STORK
SAMPLE CASES
Offline monitoring
(Drones, specific sensors, robotics,
diagnostic test units)
Online monitoring
(Drones, AMS suite, IBM Watson IoT)
APM 4.0
(Aspentech Mtell, IBM Watson)
Filter, HP pumps
Pumps
Gearboxes
Bridges, CAT engines,
gearboxes
Blowers, pumps , E-motor,
Turbo-compressors, offshore
structures, flare stacks, tanks
Piping, pipelines,
CUI, heat exchanger
Valves BC
Turbo machinery
Valves Furnaces cleaning
Blowers, pumps, turbo-compressors,
gearboxes, turbines, E-motors
Blowers, Fans
Min. Requirements tool field
equipment for I 4.0, Dryer
Centrifuge
Engines Trams/Metro Overhead wires Switches
18. DATA DRIVEN
9 APRIL, 2020 18
ASSET MANAGEMENT
Realizing Asset Performance Management ensures a digital
“line of sight” between the defined Asset Management
Strategy & Objectives and your physical assets.
Asset Performance Management is the key enabler to create
“one” version of the truth about the health and condition
of your assets.
Are you ready to embrace Industry 4.0?
19. Questions?
Via Q&A
Or contact us!
Johan Ferket
Johan.ferket@stork.com
+32 473 86 40 83
Subject Matter Expert:
CONDITION MONITORING, CONTINUOUS CONDITION
MONITORING OF APM 4.0? – THAT IS THE QUESTION!
9 APRIL, 2020 19
Editor's Notes
Vraag die veel van onze klanten en mezelf ook bezighoudt!
Veel publiciteit en aandacht aan Machine learning, Predictive analytics, anomaly detection, Prescriptive maintenance, ..,…het lijkt er wel op dat data gedreven onderhoud nog de enige bruikbare onderhoudsstrategie is. Alhoewel de trend inderdaad is om meer naar conditie gebaseerd onderhoud te gaan ontwikkelen vele bedrijven een hybride preventief actie plan dat zowel tijdsgebaseerde als conditiegebaseerd onderhoud bevat zelfs run to failure. De ideale risico gebaseerde onderhoudsstrategie is niet een one size fits all aanpak.
Om de grootste impact te hebben moet je alle assets analyseren binnen je eigen operationele context/industrie. Wat voor een nucleaire power plant van toepassing is, geldt niet automatisch voor de process industrie.
In sommige gevallen is het goedkoper en sneller om een asset te vervangen dan er een sensor er op te plaatsen.
Alle strategiën zijn goed als ze maar onderbouwd zijn
1 van de valkuilen die wij op dit ogenblik zien bij de implementatie van APM is het onvoldoende vertalen naar “waarde”, zijnde in AM, de Asset Management doelen. We gaan van POC naar POC, van Pilot naar Pilot waarbij de business case onvoldoende aantoont dat er waarde wordt gecreëerd en dat het niet ondersteunt wordt door het senior management van het bedrijf. Positioneren van APM op het juiste niveau binnen een bedrijf, het vertalen naar de asset objectives zijn key. Zo hebben wij de link gelegd tussen ons AM model en onze APM aanpak, waarbij duidelijk een link is gelegd tussen onderhoudsconcepten, het uitvoeren van onderhoud en performance en conditie meting.
Met de digital line of sight verbinden wij de bijdrage tot het creëeren van waarde tussen de verschillende niveau’s binnen een onderneming. De gewenste waarde wordt vertaald naar Asset objectives waar de organisatie moet toe bijdrage en dankzij het digitaliseren van de asset management processen kan dit ook gerealiseerd worden. De maintenance technician in the field heeft te allen tijde toegang tot de juiste en up-to-date informatie (as design, as build, as maintained), hij kan gebruik maken van digitale technologie om de werkelijke, actuele toestand/gezondheid van de assets te verifiëren, tegelijkertijd heeft de reliability engineer toegang tot dezelfde technologie om te bepalen wanneer een onderhoudstaak optimaal kan uitgevoerd worden en zo de maintenance technician kan aansturen. Nieuwe KPI’s vinden ook hun ingang bijvoorbeeld success rate van hoe vaak hebben wij iets hersteld voor het echt zou gefaald hebben.
Eliminate organizational silo’s; enhance cooperation between operations, maintenance and engineering, asset performance is influenced by maintenance 61 % and operations by more then 50%...therefore implement an Asset Management Policy & Strategy
Workforce productivity is een absolute noodzaak omdat minder mensen beschikbaar zullen zijn voor de uitvoering
The ideal risk based maintenance strategy is not a one size fits all approach
Risk Based Maintenance is carried out by integrating analysis, measurement and periodic test activities to standardize maintenance work. The asset information is viewed in the context of the environmental, operational and process condition of the equipment. The asset condition and risk are evaluated to define the appropriate AM plans. The goal is to decide whether a proactive maintenance action is feasible and effective. If not, the item may run to failure and only reactive maintenance is performed. Corrective action can be taken immediately (unplanned) or performed later (planned).
Our starting point is the FMEA
Conditie gebaseerd onderhoud : Condition monitoring en APM 4.0 detecteren de symptomen van potentieel fallen
Our starting point is the FMEA
Het doel van proactief onderhoud is het om het falen van assets te voorkomen, het begin van het falen te detecteren en om verborgen failures te vinden.
Waar sommige ervan uitgingen dat faalpatronen eerder leeftijdsgerelateerd zijn, blijkt dit maar in 11 % van de gevallen de realiteit te zijn. Vele bedrijven hebben in het recente verleden een tijdsgebaseerd preventief onderhoudsprogramma opgezet waarbij onderhoudsinterventies werden uitgevoerd aan perfect werkende assets, ook op basis van de mening van interne SME’s rond de kans/waarschijnlijkheid van falen. Desondanks dit tijdsgebaseerd preventief onderhoud blijven de assets falen.
Terwijl 89 % van de faalpatronen random zijn en enkel kunnen gedetecteerd worden via conditie gebaseerde technieken om de waarschijnlijkheid/kans van falen beter te voorspellen. Een bewijs dus
Hier heeft conditiegebaseerd onderhoud duidelijk zijn toegevoegde waarde.
De tijd tussen de kans van falen en het effectief falen wordt de P-F interval genoemd. De P-F curve is een grafiek waarbij het verslechteren van de staat van de asset wordt uitgezet in de tijd.
Tijdens deze periode is er vaak ook al een verlies in functie of bijvoorbeeld zien wij een verschil in energieverbruik.
In de PF curve van een kogellager kan men al een verandering in trilling detecteren 1 tot 9 maand voor het effectief falen, metaaldeeltjes kunnen mits olie analyse al gedetecteerd worden 1 tot 6 maanden voor het effectief falen,…afhankelijk van de gewenste lead time kan 1 of meerdere conditie gebaseerde technieken worden gebruikt of het potentieel falen te detecteren en om op tijd actie te ondernemen.
We zien hier de verschillende de technieken samengevat in 1 grafiek met hun desbetreffende kenmerken van een korte lead time tot een heel lange lead time.
APM 4.0 en Condition monitoring zijn vergelijkbaar in de mate dat zij technologische observatie methodes gebruiken om data te verzamelen rond de conditie van assets.
Het verschil is eerder minimaal en vaak complementair, de meeste van onze klanten gebruiken beide technieken. Soms wordt er een onsite meting gedaan ter ondersteuning van APM 4.0
Vaak zien we bij onze klanten een leercurve van het beheren van onderhoud naar monitoring en visualiseren van equipment naar het evalueren van de gezondheid naar het voorspellen van failures…
Video camera inspectie, olie analyse en trillingsmetingen die door een technician van Stork kan uitgevoerd worden, de voornaamste kenmerk is dat dit periodiek en onsite wordt uitgevoerd. Het voordeel is de hoge mate van precisie, flexibiliteit en kostprijs. Het nadeel buiten dat het periodiek is dat soms rapportage niet onmiddellijk wordt geanalyseerd door werkvoorbereiders en actie hierin wordt genomen.
Het grote voordeel is dat op afstand gebeurd, permanent 24/24 7 d/7, vaak gebruik makend van embedded systemen en sensoren
Correlation of multiple sensor signals and self-learning models provide algorithms to extend failure warning time from hours and days to weeks and months. This warning time allows planning and preparation of maintenance actions well before failures occurs.
Failure behaviour modelling and algorithms is based on several data sources:
Configuration data from design
Streaming data from devices
Process data
Historical data
Human data
Beïnvloedingsfactoren : MENS (bediening, onderhoud), ASSET (complexiteit, modulair, elektronisch, afhankelijkheden, gebruiksvriendelijkheid), EXTERN (invloed andere Assets of andere afhankelijkheden, besturing, wisselend gebruik/belasting, weersinvloeden etc)
Om goed te kunnen bepalen welke conditiegebaseerde onderhoudsstrategie de beste is hebben wij een vragenlijst ontwikkeld waar we met onze klant doorheen gaan, we kijken dus naar de impact op de bedrijfsdoelstellingen, de beschikbaarheid van data en de kwaliteit ervan en de complexiteit (technisch, proces,…)
Om een voorbeeld te geven waar de chemische industrie een ideale kandidaat lijkt voor APM 4.0 door het hoge niveau aan automatisering, instrumentatie en stabiele operationele condities hebben we gemerkt dat het potentieel van APM4.0 niet altijd bewezen en realiseerbaar is.
Soms hebben we te weinig data door het klein aantal grote events (dus afwezigheid van faaldata om model op te trainen, te weinig tijd : proces kan niet onmiddellijk worden stilgelegd en sommige interventies nemen veel tijd in beslag qua voorbereiding en spare, te weinig impact door redundantie en savings business case : soms meer baat bij het optimaliseren van geplande stilstanden dan ongeplande stilstanden.
We hebben gezien dat in sommige gevallen dat het mitigeren van de impact van het falen een betere business case was dan het voorkomen en dat er meer baat was bij condition monitoring en het optimaliseren van de interventie
Als afsluiter dit overzicht, bepaal je doel, bekijk de operationele context, het type asset en de faalmodes en bepaal je strategie