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.
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.
Condition Monitoring – Cost comparison with and without CM – On-load testing and offload testing –Methods and instruments for CM – Temperature sensitive tapes – Pistol thermometers – wear-debris analysis
Predictive Maintenance vs Preventive MaintenanceMobility Work
Whether your business is small, medium or large, effective equipment maintenance is crucial. The CMMS market is flooded with solutions promising cost and time savings but also demanding a solid investment. Every maintenance professional will tell you that predictive and preventive maintenance are absolutely worth it and of highest importance for asset management.
But how to choose the right maintenance strategy for your equipment according to your budget?
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.
Condition Monitoring – Cost comparison with and without CM – On-load testing and offload testing –Methods and instruments for CM – Temperature sensitive tapes – Pistol thermometers – wear-debris analysis
Predictive Maintenance vs Preventive MaintenanceMobility Work
Whether your business is small, medium or large, effective equipment maintenance is crucial. The CMMS market is flooded with solutions promising cost and time savings but also demanding a solid investment. Every maintenance professional will tell you that predictive and preventive maintenance are absolutely worth it and of highest importance for asset management.
But how to choose the right maintenance strategy for your equipment according to your budget?
Is Reliability Centered Maintenance (RCM) right for you?Nancy Regan
This presentation outlines the goals of a Reliability Centered Maintenance (RCM) analysis. It debunks the top misconceptions about RCM. And it poses and answers the top four questions about RCM most people don’t know to ask.
It saves more then it costs....
Preventive maintenance and reactive maintenance are an extremely critical part of any fleet operations. By creating a Preventive Maintenance program to decrease the incidents of equipment arriving late for the PM’s they are due for, this program can be an integral part of cost savings and reduction of equipment downtime for repairs.
Reliability Centered Maintenance Implementation and Case StudyWaseem Akram
This is the presentation based on final year project which deals with the implementation of "Reliability Centered Maintenance and Contribution of Quality Management System". A case study analysis has also been attached in this presentation.
Reliability Centered Maintenance (RCM) and Total Productive Maintenance (TPM)...Flevy.com Best Practices
More Information:
https://flevy.com/browse/business-document/reliability-centered-maintenance-rcm-and-total-productive-maintenance-tpm--2-day-presentation-1081
BENEFITS OF DOCUMENT
Improve reliability of plant & equipment
Measure the machine performance losses and understand better
Introduce autonomous maintenance
DOCUMENT DESCRIPTION
Reliability Centered Maintenance and Total Productive Maintenance presentation is intended to help as a 2-day workshop material for Operations and Maintenance personnel.
This presentation consists of over 200 slides and comprises of the following:
Group Activity - Define Maintenance Excellence
Maintenance Excellence - Activity
What is RCM?
Objective & goal of RCM
Techniques employed by RCM
Primary RCM Principles
Types of Maintenance Tasks
RCM Considerations, Applicability + Benefits
Steps in RCM Implementation
TPM vision, definition, origins, principles
8 Pillars of TPM
TPM Self-Assessment
Autonomous maintenance
Equipment & Process Improvement
Equipment Losses, Manpower & Material Losses
OEE - what it is & Calculations
Activity OEE Calculation
Other pillars of TPM
TPM Implementation - 12 steps
Benefits & OEE Tracker
Proactive Maintenance Analysis
Liaison with Ops, Communicating OEE,
Group Activity - OEE Communication/Importance
Ops. Skills, Cleanliness,
Monitoring - Gauges, Lubrication, Contamination, Vibration, One point Lesson
Activity - Maintenance / Operations
Analysis of Maintenance History, MTBF and its calculation
Activity - MTBF Calculation
Improving Equipment performance
FMEA, Types, Calculating RPN
When working for Petrobras at PRSI (Pasadena Refining System Inc.) I had this opportunity to share my experience as a Maintenance Manager in Brazil with PRSI operators and maintenance crew.
In conclusion, nanoprecise technology is transforming traditional maintenance practices by enabling condition-based maintenance. The ability to monitor industrial equipment in real-time ensures that potential faults can be detected and addressed before they develop into major problems. This approach not only improves efficiency but also saves companies significant amounts of time and money. With the ever-increasing complexity of industrial machinery, it is clear that condition monitoring through nanoprecise technology will continue to gain popularity as a critical tool for predictive maintenance. We encourage all companies to embrace this technology and enjoy its benefits in improving their maintenance operations.
Nanoprecise Data Services Pvt. Ltd.IndiQube- Edge Service CentreKhatha No. 571/630/6/4,(Sy No.6/4), Ambalipura Village,Outer Ring Road, Varthur Hobli,Bangalore-560103
Condition Based Monitoring and Maintenance - NanopreciseNanoprecise
Condition-based monitoring and maintenance (CBM) is a proactive approach to equipment management that has gained popularity in recent years. It involves using sensors, data analytics, and machine learning algorithms to detect potential faults in machines before they cause a breakdown or failure. The primary goal of CBM is to maximize the uptime and performance of equipment while minimizing the cost of maintenance. By monitoring the Condition Monitoring Maintenance of machines in real-time, maintenance teams can schedule repairs when they are needed rather than at predetermined intervals, which can reduce downtime and save money on unnecessary repairs. we will explore the key concepts and benefits of CBM and examine how it differs from traditional methods of maintenance.
Is Reliability Centered Maintenance (RCM) right for you?Nancy Regan
This presentation outlines the goals of a Reliability Centered Maintenance (RCM) analysis. It debunks the top misconceptions about RCM. And it poses and answers the top four questions about RCM most people don’t know to ask.
It saves more then it costs....
Preventive maintenance and reactive maintenance are an extremely critical part of any fleet operations. By creating a Preventive Maintenance program to decrease the incidents of equipment arriving late for the PM’s they are due for, this program can be an integral part of cost savings and reduction of equipment downtime for repairs.
Reliability Centered Maintenance Implementation and Case StudyWaseem Akram
This is the presentation based on final year project which deals with the implementation of "Reliability Centered Maintenance and Contribution of Quality Management System". A case study analysis has also been attached in this presentation.
Reliability Centered Maintenance (RCM) and Total Productive Maintenance (TPM)...Flevy.com Best Practices
More Information:
https://flevy.com/browse/business-document/reliability-centered-maintenance-rcm-and-total-productive-maintenance-tpm--2-day-presentation-1081
BENEFITS OF DOCUMENT
Improve reliability of plant & equipment
Measure the machine performance losses and understand better
Introduce autonomous maintenance
DOCUMENT DESCRIPTION
Reliability Centered Maintenance and Total Productive Maintenance presentation is intended to help as a 2-day workshop material for Operations and Maintenance personnel.
This presentation consists of over 200 slides and comprises of the following:
Group Activity - Define Maintenance Excellence
Maintenance Excellence - Activity
What is RCM?
Objective & goal of RCM
Techniques employed by RCM
Primary RCM Principles
Types of Maintenance Tasks
RCM Considerations, Applicability + Benefits
Steps in RCM Implementation
TPM vision, definition, origins, principles
8 Pillars of TPM
TPM Self-Assessment
Autonomous maintenance
Equipment & Process Improvement
Equipment Losses, Manpower & Material Losses
OEE - what it is & Calculations
Activity OEE Calculation
Other pillars of TPM
TPM Implementation - 12 steps
Benefits & OEE Tracker
Proactive Maintenance Analysis
Liaison with Ops, Communicating OEE,
Group Activity - OEE Communication/Importance
Ops. Skills, Cleanliness,
Monitoring - Gauges, Lubrication, Contamination, Vibration, One point Lesson
Activity - Maintenance / Operations
Analysis of Maintenance History, MTBF and its calculation
Activity - MTBF Calculation
Improving Equipment performance
FMEA, Types, Calculating RPN
When working for Petrobras at PRSI (Pasadena Refining System Inc.) I had this opportunity to share my experience as a Maintenance Manager in Brazil with PRSI operators and maintenance crew.
In conclusion, nanoprecise technology is transforming traditional maintenance practices by enabling condition-based maintenance. The ability to monitor industrial equipment in real-time ensures that potential faults can be detected and addressed before they develop into major problems. This approach not only improves efficiency but also saves companies significant amounts of time and money. With the ever-increasing complexity of industrial machinery, it is clear that condition monitoring through nanoprecise technology will continue to gain popularity as a critical tool for predictive maintenance. We encourage all companies to embrace this technology and enjoy its benefits in improving their maintenance operations.
Nanoprecise Data Services Pvt. Ltd.IndiQube- Edge Service CentreKhatha No. 571/630/6/4,(Sy No.6/4), Ambalipura Village,Outer Ring Road, Varthur Hobli,Bangalore-560103
Condition Based Monitoring and Maintenance - NanopreciseNanoprecise
Condition-based monitoring and maintenance (CBM) is a proactive approach to equipment management that has gained popularity in recent years. It involves using sensors, data analytics, and machine learning algorithms to detect potential faults in machines before they cause a breakdown or failure. The primary goal of CBM is to maximize the uptime and performance of equipment while minimizing the cost of maintenance. By monitoring the Condition Monitoring Maintenance of machines in real-time, maintenance teams can schedule repairs when they are needed rather than at predetermined intervals, which can reduce downtime and save money on unnecessary repairs. we will explore the key concepts and benefits of CBM and examine how it differs from traditional methods of maintenance.
Embedded Condition Based Maintenance A New Modeling Approach iosrjce
IOSR Journal of Electrical and Electronics Engineering(IOSR-JEEE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electrical and electronics engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electrical and electronics engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A survey by Schneider Electric in the US revealed that predictive maintenance services can lead to 25% reduction in cost. Learn about industrial IoT framework that enables PdM
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.
Maintenance accounts for approx. 30% of the life-cycle costs of a high-speed train, making it the largest rolling stock operating cost factor besides energy. Advancements in the Big data technologies and predictive analytics with M2M telematics are enabling deep insights into the machine operations by providing full functionality status in real time - giving rise to optimal maintenance schedules,
improved machine availability and asset usage. Predictive maintenance, also known as Condition Based Maintenance (CBM) aims to reduce these unnecessary costs by basing the maintenance need on the actual condition of the machine rather than on preset schedules or assumptions.
CONDITION-BASED MAINTENANCE USING SENSOR ARRAYS AND TELEMATICSijmnct
Emergence of uniquely addressable embeddable devices has raised the bar on Telematics capabilities.
Though the technology itself is not new, its application has been quite limited until now. Sensor based
telematics technologies generate volumes of data that are orders of magnitude larger than what operators
have dealt with previously. Real-time big data computation capabilities have opened the flood gates for
creating new predictive analytics capabilities into an otherwise simple data log systems, enabling real-time
control and monitoring to take preventive action in case of any anomalies. Condition-based-maintenance,
usage-based-insurance, smart metering and demand-based load generation etc. are some of the predictive analytics use cases for Telematics. This paper presents the approach of condition-based maintenance using
real-time sensor monitoring, Telematics and predictive data analytics.
Maintenance is important in any organization. Without proper maintenance, assets deteriorate over time reducing the quality of your output produced. It can also impact the safety of your asset or your people who operate it. Asset management focuses on assuring your people that parts and processes are optimized to improve asset performance. Reducing inventory, maintenance costs and the number of downtime events raises your productivity, while simultaneously driving financial performance and predictability. It also helps your employees with the right tools to make good decisions about driving your plant performance.
Condition-based Maintenance with sensor arrays and telematicsGopalakrishna Palem
Emergence of uniquely addressable embeddable devices has raised bar on Telematics capabilities. Sensor based Telematics technologies generate volumes of data that are orders of magnitude larger than what operators have dealt with previously. Real-time big data architectures enable real-time control and monitoring of data to detect anomalies and take preventive action. Condition-based-maintenance, usage-based-insurance, smart metering and demand-based load generation are some of the predictive analytics use cases for Telematics with real-time data streaming. This paper presents indepth analysis of condition-based maintenance using real-time sensor monitoring, Telematics and predictive data analytics.
Introduction to Reliability Centered MaintenanceDibyendu De
Introduces Reliability Centered Maintenance, strategies employed, formulation of effective maintenance plan, reduction of consequences of failures and failure rate.
Definition of RCM, principles and goals of RCM; Four major components of RCM: reactive maintenance, preventive maintenance, predictive testing and inspection and proactive maintenance; RCM strategies.
10 steps to achieve world-class manufacturing maintenance practicesUMSConferences
Lean maintenance practices cut costs and improve production by minimizing downtime. it is possible to implement production maintenance best practices, and doing so will save time and money while increasing production in the long run. Here are 10 steps you can follow to establish Lean maintenance best practices at your manufacturing operation.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
2. From RunToFail to ConditionBasedMonitoring
RTF Run to failure or Breakdown Maintenance: maintenance actions are taken
only after breakdown.
Preventive Maintenance or Scheduled Maintenance: maintenance actions after
specific time intervals of operation, regardless the condition of the engines.
Predictive Maintenance or CBM Condition-Based Maintenance : maintenance
actions are taken according to the actual condition of the operating engines,
which is assessed through appropriate condition monitoring procedures.
One of the major challenges for Industrial plants 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:
3.
4. Why CBM
Corrective/reactive maintenance
can have severe performance
costs, and preventive/ scheduled
maintenance replaces parts
before the end of their useful life.
CBM optimizes the tradeoff
between maintenance costs and
performance costs by increasing
availability and reliability while
eliminating unnecessary
maintenance activities.
5. CBM
Condition based maintenance allows preventive and corrective actions to be
scheduled at the optimal time, thus reducing the total cost of ownership. Today,
improvements in technology are making it easier to gather, store and analyze data
for CBM. In particular, CBM is highly effective where safety and reliability is the
paramount concern such as the aircraft industry, semiconductor manufacturing,
nuclear, oil and gas, and so on.
The goal of condition based maintenance is to spot upcoming equipment failure so
maintenance can be proactively scheduled when it is needed – and not before. Asset
conditions need to trigger maintenance within a long enough time period before failure, so
work can be finished before the asset fails or performance falls below the optimal level.
6. Predictive maintenance
Relies on maintenance based on trends acquired by equipment data.
Predictive maintenance is based on predicting when an asset needs attention
rather than simply replacing a part, when it could last longer.
It deals with online data, machine conditions are constantly monitored and data
are constantly analyzed.
CBM program:
• Data Acquisition part, where data are acquired from engines under monitoring
• Data Processing part, where the acquired data are validated and transformed
properly according to the requirements of the decision-making techniques that
follow
• Decision Making part, where a number of methods and techniques are applied
to obtain the current health condition of the engine and recommend maintenance
plans
7. CBM Benefits & Investments
CBM is performed while the asset is working, this
lowers disruptions to normal operations
Reduces the cost of asset failures
Improves equipment reliability
Minimizes unscheduled downtime due to
catastrophic failure
Minimizes time spent on maintenance
Minimizes overtime costs by scheduling the
activities
Minimizes requirement for emergency spare parts
Optimized maintenance intervals (more optimal
than manufacturer recommendations)
Improves worker safety
Reduces the chances of collateral damage to the
system
Condition monitoring test equipment is expensive
to install, and databases cost money to analyze
Cost to train staff – you need a knowledgeable
professional to analyze the data and perform the
work
Fatigue or uniform wear failures are not easily
detected with CBM measurements
Condition sensors may not survive in the
operating environment
May require asset modifications to retrofit the
system with sensors
Unpredictable maintenance periods
Benefits Investments
9. The predictive maintenance principle is to use a combination of measurement on
process and machinery, to evaluate equipment condition.
Several technologies are available:
Predictive Maintenance Tools
VIBRATION
ANALYSIS
THERMO
IMAGE
NDT/VISUAL
INSPECTION
PERFORMANCE
TEST
OIL
ANALYSIS
10. P-F curve
The P-F Curve chart is one of the most important tools for a reliability centered
maintenance plan.
11. Data collection
All the method described before, needs to analyze machine data.
Data can be collected from the system by two different methods:
Spot readings: can be performed at
regular intervals using portable
instruments (Pruftechnik)
Continuous readings: Sensors can be
retrofitted to equipment or installed
during manufacture for continuous
data collection (Condition monitoring
par 2.2 and remote diagnostic cap.3)
12. Type of Data Acquisition & Analysis
In addition to Vibration Analysis, wide range of data acquisition and analysis are oriented to assist
the RCA process and Troubleshoot machine problems.
• Machine and Shaft alignment
• Torsional vibration analysis
• Thermographic analysis
• Machine support and casing displacement analysis
• Combustion chamber vibration monitoring
• Enclosure temperature analysis
• Combustion emission analysis
• Noise emission analysis
• Process data analysis
• Control System diagnostic
• …
13. Web site: www.gssnet.eu
Contact: info@gss-eu.com
Sales Department: matilde.rosati@gss-eu.com
Ph/Fax +39 055 0126653
Mob. +39 3392203342
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