Condition monitoring through non destructive testings of machine ppt
•Download as PPT, PDF•
7 likes•7,849 views
The document discusses various non-destructive testing techniques for condition monitoring of machines and plants. It describes techniques like vibration monitoring, acoustic emission, infrared thermography, ferrography, and field signature mapping. For each technique, it provides details on the instrumentation used, parameters measured, types of faults detected, and industrial applications. The conclusion compares the techniques and summarizes their capability for non-contact inspection, automated inspection, and defect sizing.
Report
Share
Report
Share
Recommended
Presentation on Condition Monitoring
This presentation is designed with vibration analysis, Oil Analysis, Thermal Analysis and Ultrasound analysis.
Maintenance strategy & cbm basic introduction
Condition-based maintenance (CBM) involves monitoring key parameters that can indicate equipment failure. CBM allows maintenance to be planned before severe damage occurs. The document discusses CBM techniques like vibration analysis, thermography, performance monitoring, lubricant analysis, and non-destructive testing. It provides examples of applying techniques like vibration, temperature, and flow measurements to monitor fans, pumps and detect issues like imbalance, bearing damage, cavitation. A successful CBM program incorporates monitoring, data analysis, reporting, and corrective actions.
Condition Monitoring Basics
This presentation is equipped with the basic concepts of Condition Monitoring. The methods and analysis, circumscribed by Condition Monitoring, are summarized with an addition of application in this presentation.
Vibration monitoring
This document discusses vibration monitoring and analysis techniques for machine maintenance. It covers three types of maintenance schemes: breakdown, preventive, and condition-based maintenance. Vibration monitoring is described as the most common condition monitoring method, where vibration levels are measured to predict failures. Two types of vibration monitoring systems - periodic and permanent - are outlined. Vibration analysis techniques including time-domain and frequency-domain analysis are explained. Data acquisition and interpretation methods are also summarized. The role of computers in vibration-based condition monitoring programs is briefly described.
Wear debris analysis
This document discusses lubricant oil analysis and wear debris analysis. It describes how analyzing machine lubricant oils and wear debris particles can help monitor equipment condition, identify abnormal wear or contamination issues, and provide early warnings of potential maintenance needs. Key information extracted from lubricant oil and wear debris analysis includes particle concentrations, types, shapes, sizes, and compositions which can indicate the wear mechanism and likely source of failure occurring within the machine. Together this information helps optimize machine performance, reduce downtime, and increase reliability.
Condition Based monitoring Training
The document discusses various aspects of condition monitoring through vibration analysis. It defines condition monitoring and different types of maintenance. It explains why condition monitoring is important and some key physical parameters that are measured. It then focuses on condition monitoring through vibration analysis, discussing concepts like amplitude, frequency, causes of vibration, and analyzing case studies of different machines. Key points covered include vibration measurement and analysis, identifying issues like unbalance, misalignment, looseness and bearing defects.
Condition monitoring of rotating machines ppt
This document discusses condition monitoring of rotating machines. It covers various techniques for monitoring parameters like temperature, vibration, electrical signals and fluxes to detect faults in machines like motors and generators. Local temperature can be monitored using devices embedded in the insulation near hot parts like the winding or core. Vibration is commonly monitored at various frequencies to analyze faults in components. Electrical signals like current and flux are also monitored to detect issues in windings or rotors. Overall, condition monitoring aims to continuously evaluate equipment health and detect early-stage faults in machines.
Vibration monitoring
This document discusses condition monitoring and vibration monitoring of machines. It begins by defining condition monitoring as assessing the state of machinery by measuring parameters over time to detect deterioration and potential failures. Vibration monitoring is then introduced as a common method that involves measuring frequency and amplitude of vibrations to identify issues. The history and types of vibration monitoring systems are reviewed, including periodic offline and continuous online systems. It concludes by outlining steps for establishing a condition monitoring program, such as determining the appropriate system, creating a machinery list, and documenting key machine characteristics.
Recommended
Presentation on Condition Monitoring
This presentation is designed with vibration analysis, Oil Analysis, Thermal Analysis and Ultrasound analysis.
Maintenance strategy & cbm basic introduction
Condition-based maintenance (CBM) involves monitoring key parameters that can indicate equipment failure. CBM allows maintenance to be planned before severe damage occurs. The document discusses CBM techniques like vibration analysis, thermography, performance monitoring, lubricant analysis, and non-destructive testing. It provides examples of applying techniques like vibration, temperature, and flow measurements to monitor fans, pumps and detect issues like imbalance, bearing damage, cavitation. A successful CBM program incorporates monitoring, data analysis, reporting, and corrective actions.
Condition Monitoring Basics
This presentation is equipped with the basic concepts of Condition Monitoring. The methods and analysis, circumscribed by Condition Monitoring, are summarized with an addition of application in this presentation.
Vibration monitoring
This document discusses vibration monitoring and analysis techniques for machine maintenance. It covers three types of maintenance schemes: breakdown, preventive, and condition-based maintenance. Vibration monitoring is described as the most common condition monitoring method, where vibration levels are measured to predict failures. Two types of vibration monitoring systems - periodic and permanent - are outlined. Vibration analysis techniques including time-domain and frequency-domain analysis are explained. Data acquisition and interpretation methods are also summarized. The role of computers in vibration-based condition monitoring programs is briefly described.
Wear debris analysis
This document discusses lubricant oil analysis and wear debris analysis. It describes how analyzing machine lubricant oils and wear debris particles can help monitor equipment condition, identify abnormal wear or contamination issues, and provide early warnings of potential maintenance needs. Key information extracted from lubricant oil and wear debris analysis includes particle concentrations, types, shapes, sizes, and compositions which can indicate the wear mechanism and likely source of failure occurring within the machine. Together this information helps optimize machine performance, reduce downtime, and increase reliability.
Condition Based monitoring Training
The document discusses various aspects of condition monitoring through vibration analysis. It defines condition monitoring and different types of maintenance. It explains why condition monitoring is important and some key physical parameters that are measured. It then focuses on condition monitoring through vibration analysis, discussing concepts like amplitude, frequency, causes of vibration, and analyzing case studies of different machines. Key points covered include vibration measurement and analysis, identifying issues like unbalance, misalignment, looseness and bearing defects.
Condition monitoring of rotating machines ppt
This document discusses condition monitoring of rotating machines. It covers various techniques for monitoring parameters like temperature, vibration, electrical signals and fluxes to detect faults in machines like motors and generators. Local temperature can be monitored using devices embedded in the insulation near hot parts like the winding or core. Vibration is commonly monitored at various frequencies to analyze faults in components. Electrical signals like current and flux are also monitored to detect issues in windings or rotors. Overall, condition monitoring aims to continuously evaluate equipment health and detect early-stage faults in machines.
Vibration monitoring
This document discusses condition monitoring and vibration monitoring of machines. It begins by defining condition monitoring as assessing the state of machinery by measuring parameters over time to detect deterioration and potential failures. Vibration monitoring is then introduced as a common method that involves measuring frequency and amplitude of vibrations to identify issues. The history and types of vibration monitoring systems are reviewed, including periodic offline and continuous online systems. It concludes by outlining steps for establishing a condition monitoring program, such as determining the appropriate system, creating a machinery list, and documenting key machine characteristics.
CONDITION BASED MAINTAINACE BASICS presentation
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.
Condition monitoring
Failure Process and Cost to Repair
From Regular Inspections to Condition Monitoring
Identify Potential Failure
Condition Monitoring
Condition Monitoring Measurements
Condition Based Maintenance (CBM) Strategy
Condition Monitoring Techniques
Oil Analysis
Vibration Analysis
Factors Causing Vibrations
Vibration Analysis Sensor
Vibration Analysis Sensors Advantages
Dynamic Vibration Analysis
Vibration Data Plotting
Process Vibration Alarms ISO API Standards
Conclusion – Vibration Analysis
Reliability Spectrum
Condition Monitoring Applications
Condition Monitoring Global Market
Condition monitoring
This document discusses various methods of condition monitoring for machines, including vibration monitoring, lubricant analysis, acoustic emission, infrared thermography, and ultrasound emission. Vibration monitoring uses accelerometers to detect vibrations which can indicate developing faults. Lubricant analysis examines oil properties, contaminants, and wear debris to monitor machine health. Acoustic emission detects elastic waves from structural changes to identify cracks. Infrared thermography uses thermal cameras to detect temperature variations that may indicate issues. Ultrasound emission employs transducers that use the piezoelectric effect to generate and detect ultrasound waves for non-destructive testing of materials.
Vibration monitoring and its features for corelation
The document discusses vibration theory, including definitions of acceleration, velocity, displacement and simple harmonic motion. It describes quantifying vibration amplitude using peak-to-peak, peak, average and RMS levels. It also covers the differences between time and frequency domain analysis and concepts of phase angle measurement in condition monitoring. Condition monitoring strategies aim to focus on critical machinery by defining detectable faults and relevant measurement parameters.
Condition monitoring and its techniques
A wide range of Condition monitoring techniques is available in the industries over the world and some have become standards in many industries.
The "standard" techniques are:
1.Vibration Analysis
2.Oil Analysis
3.Thermal Analysis
4.Ultrasound Analysis
Vibration measuring instruments
This presentation gives the information about 'vibration measuring instruments' covering syllabus of Unit-5 of Theory of vibrations or mechanical vibrations for BE course under VTU, Belgaum. This presentation is prepared by Hareesha N G, Asst. Prof, Dept of Aerospace, DSCE, B'Lore-78.
Vibration analysis
Vibration analysis can provide very useful information about the status of the equipment and the nature and severity of the problem.
It is possible to use these information to plan all maintenance activities and minimize machine downtime.
Liquid penetrant testing
Liquid penetrant testing is a non-destructive testing method used to reveal surface discontinuities in materials. It works by applying a penetrant that seeps into flaws, removing excess penetrant, and then using a developer to draw the penetrant out of flaws so they are visible. The general steps are surface preparation to clean the part, applying penetrant and letting it dwell, removing excess penetrant, applying developer, and inspecting under light to detect any indications of flaws. It is a sensitive method suitable for many materials but can only detect surface-breaking defects.
CONDITION BASED MONITORING PRESENTATION
Condition-based monitoring (CBM) was implemented at Barnes Reinforcing Industries (BRI) to address frequent machine breakdowns caused by mechanical faults. Engineering trainees used tools like infrared thermometers, vibration analyzers, and thermography cameras to monitor temperatures and vibrations of rotating and heating equipment. Their analysis found bearings were a major cause of breakdowns due to overheating, fatigue, and misalignment. CBM helped identify failing components, extend machine life, and reduce maintenance costs for BRI by focusing repairs on detected faults.
Acoustic Emission testing
The document provides an outline for a presentation on acoustic emission phenomena and applications. It discusses the history of acoustic emission and describes acoustic emission instrumentation components like sensors, preamplifiers, and data acquisition systems. It also covers acoustic emission measurement principles, source location techniques, applications of acoustic emission in metals, and international acoustic emission standards. The document contains detailed information on various acoustic emission concepts.
Vibration Analysis
Vibration analysis uses FFT to transform time domain vibration data into the frequency domain spectrum. Key parameters like acceleration, velocity, crest factor, kurtosis, and noise levels are used to monitor rotational forces, impacts/shocks, and friction within machines. Fault frequencies corresponding to machine components like bearings and gears are identified and compared to spectral peaks to diagnose issues. Phase analysis can also identify unbalance or misalignment. Proper data collection and machine parameters like RPM are critical for effective vibration analysis.
Machine Vibration Analysis
This document provides information about vibration analysis and monitoring. It defines key vibration terms like displacement, velocity, acceleration, and frequency. It describes common applications of vibration analysis in industries. It explains how vibration analysis can be used to improve reliability by identifying root causes of faults and ensuring machines are properly maintained. The document discusses different methods of vibration data collection, from simple meters to professional analyzers. It provides an example of a vibration case study on a centrifugal fan and highlights the importance of vibration monitoring in preventing machine failures.
Condition monitoring
This presentation discusses condition monitoring strategies from failures-based to predictive maintenance. It covers predictive maintenance techniques like vibration analysis, wear debris monitoring, and thermography. Vibration parameters like amplitude, frequency, and phase are explained. Common machine faults identified by vibrations are listed. Advanced vibration analysis techniques like phase analysis, Bode plots, and orbit analysis are introduced. Wear debris analysis helps predict internal machine condition by studying worn particles. Thermography uses infrared cameras to detect equipment temperature variations indicative of potential issues.
Vibration analysis
This document provides an introduction to vibration analysis and maintenance. It discusses the different types of maintenance including reactive, preventive, predictive, and proactive maintenance. It then covers vibration fundamentals including waveform, spectrum, frequency, amplitude, and motion. Specific vibration faults like unbalance, misalignment, and bearing defects are examined. The use of spectrum and time waveform analysis to diagnose machine faults is also explained.
Mechanical Maintenance
This document discusses various types of mechanical maintenance including preventive, corrective, operational, and lubrication maintenance. Preventive maintenance aims to maximize equipment availability and minimize defects by addressing potential issues before they arise. Corrective maintenance repairs equipment after failures occur. Operational maintenance includes inspecting, cleaning, and minor adjustments. Regular lubrication is important as it can decrease early bearing failures and increase bearing life. Proper maintenance helps keep equipment safe, reliable, and productive while avoiding high costs of unexpected breakdowns.
Maintenance & its types
The document discusses different types of maintenance including breakdown, preventive, predictive, corrective, and periodic maintenance. It describes maintenance as preserving equipment and infrastructure by repairing and replacing parts. Effective maintenance planning considers people, location, time, tools, and maintenance information. Key benefits include less downtime, fewer errors and repairs, and improved reliability and safety. Common causes of machinery breakdown include improper maintenance, worn parts, and operator errors. Preventive maintenance software helps coordinate maintenance tasks and store related data.
non-destructive testing ppt
This document discusses non-destructive testing (NDT) methods. It begins by defining NDT as techniques used to evaluate materials without causing damage. It then lists common NDT types like visual inspection, liquid penetrant, ultrasonic, and radiographic testing. For each type, it provides a brief overview of the principles and applications. The document focuses on liquid penetrant testing, describing the procedure and noting it is useful for inspecting parts like aircraft wheels and automotive pistons. It also discusses advantages of NDT like avoiding failures and ensuring safety. In conclusion, it states that NDT can save costs for facilities that implement its methods properly.
CONDITION MONITORING
This document discusses condition monitoring techniques used to assess the health of equipment. It defines condition monitoring as assessing equipment using measurements and monitoring of parameters. The key steps in condition monitoring are identifying critical systems, selecting monitoring techniques, setting baseline readings, collecting and assessing data, diagnosing faults, and reviewing the system. Common monitoring techniques discussed include vibration analysis, temperature monitoring, lubricant analysis, and visual inspection using tools like borescopes. Specific methods like ferrography, spectroscopy, and infrared thermography are also summarized.
Applying Condition Based Monitoring Approach in Engineering Management Services
This document discusses applying condition-based monitoring in facility management services. It describes maintenance strategies like reactive, preventive, and condition-based maintenance. Condition-based maintenance involves monitoring physical parameters like vibration or temperature and establishing engineering limits to detect problems before damage occurs. Various condition monitoring techniques are discussed like vibration analysis, infrared thermography, ultrasound, oil analysis, and power quality analysis. Benefits of condition-based maintenance include predicting failures and scheduling maintenance to avoid downtime.
Introduction to Ultrasonic Testing
This presentation gives an information about Introduction to ultrasonic testing covering the syllabus of Non Destructive testing
Types of maintenance
This document discusses different types of maintenance for assets including aircraft. It defines maintenance as work carried out to preserve assets and enable continued use over their design life. The main types of maintenance discussed are: breakdown, preventive (periodic and predictive), and corrective. Periodic maintenance involves regular inspection and servicing, while predictive uses condition monitoring. Aircraft maintenance checks ranging from light A/B checks every 500-800 hours to comprehensive D checks every 5 years are also outlined. Nondestructive testing methods like liquid penetrant and eddy current are used during aircraft maintenance inspections.
Environmental Protection Agency Of Montenegro
The Environmental Protection Agency of Montenegro was established in March 2009 to accomplish healthy environmental management in the country. It conducts environmental monitoring, issues permits, and handles inspections and communication. The Agency has 5 sectors that deal with monitoring and reporting, permitting, communication, inspection, and legal/financial affairs. Its vision is for Montenegro to have environmental harmony and its mission is to professionally improve the environment for present and future generations. It recognizes the importance of qualified staff, environmental protection, open communication, and priority over other organizations.
More Related Content
What's hot
CONDITION BASED MAINTAINACE BASICS presentation
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.
Condition monitoring
Failure Process and Cost to Repair
From Regular Inspections to Condition Monitoring
Identify Potential Failure
Condition Monitoring
Condition Monitoring Measurements
Condition Based Maintenance (CBM) Strategy
Condition Monitoring Techniques
Oil Analysis
Vibration Analysis
Factors Causing Vibrations
Vibration Analysis Sensor
Vibration Analysis Sensors Advantages
Dynamic Vibration Analysis
Vibration Data Plotting
Process Vibration Alarms ISO API Standards
Conclusion – Vibration Analysis
Reliability Spectrum
Condition Monitoring Applications
Condition Monitoring Global Market
Condition monitoring
This document discusses various methods of condition monitoring for machines, including vibration monitoring, lubricant analysis, acoustic emission, infrared thermography, and ultrasound emission. Vibration monitoring uses accelerometers to detect vibrations which can indicate developing faults. Lubricant analysis examines oil properties, contaminants, and wear debris to monitor machine health. Acoustic emission detects elastic waves from structural changes to identify cracks. Infrared thermography uses thermal cameras to detect temperature variations that may indicate issues. Ultrasound emission employs transducers that use the piezoelectric effect to generate and detect ultrasound waves for non-destructive testing of materials.
Vibration monitoring and its features for corelation
The document discusses vibration theory, including definitions of acceleration, velocity, displacement and simple harmonic motion. It describes quantifying vibration amplitude using peak-to-peak, peak, average and RMS levels. It also covers the differences between time and frequency domain analysis and concepts of phase angle measurement in condition monitoring. Condition monitoring strategies aim to focus on critical machinery by defining detectable faults and relevant measurement parameters.
Condition monitoring and its techniques
A wide range of Condition monitoring techniques is available in the industries over the world and some have become standards in many industries.
The "standard" techniques are:
1.Vibration Analysis
2.Oil Analysis
3.Thermal Analysis
4.Ultrasound Analysis
Vibration measuring instruments
This presentation gives the information about 'vibration measuring instruments' covering syllabus of Unit-5 of Theory of vibrations or mechanical vibrations for BE course under VTU, Belgaum. This presentation is prepared by Hareesha N G, Asst. Prof, Dept of Aerospace, DSCE, B'Lore-78.
Vibration analysis
Vibration analysis can provide very useful information about the status of the equipment and the nature and severity of the problem.
It is possible to use these information to plan all maintenance activities and minimize machine downtime.
Liquid penetrant testing
Liquid penetrant testing is a non-destructive testing method used to reveal surface discontinuities in materials. It works by applying a penetrant that seeps into flaws, removing excess penetrant, and then using a developer to draw the penetrant out of flaws so they are visible. The general steps are surface preparation to clean the part, applying penetrant and letting it dwell, removing excess penetrant, applying developer, and inspecting under light to detect any indications of flaws. It is a sensitive method suitable for many materials but can only detect surface-breaking defects.
CONDITION BASED MONITORING PRESENTATION
Condition-based monitoring (CBM) was implemented at Barnes Reinforcing Industries (BRI) to address frequent machine breakdowns caused by mechanical faults. Engineering trainees used tools like infrared thermometers, vibration analyzers, and thermography cameras to monitor temperatures and vibrations of rotating and heating equipment. Their analysis found bearings were a major cause of breakdowns due to overheating, fatigue, and misalignment. CBM helped identify failing components, extend machine life, and reduce maintenance costs for BRI by focusing repairs on detected faults.
Acoustic Emission testing
The document provides an outline for a presentation on acoustic emission phenomena and applications. It discusses the history of acoustic emission and describes acoustic emission instrumentation components like sensors, preamplifiers, and data acquisition systems. It also covers acoustic emission measurement principles, source location techniques, applications of acoustic emission in metals, and international acoustic emission standards. The document contains detailed information on various acoustic emission concepts.
Vibration Analysis
Vibration analysis uses FFT to transform time domain vibration data into the frequency domain spectrum. Key parameters like acceleration, velocity, crest factor, kurtosis, and noise levels are used to monitor rotational forces, impacts/shocks, and friction within machines. Fault frequencies corresponding to machine components like bearings and gears are identified and compared to spectral peaks to diagnose issues. Phase analysis can also identify unbalance or misalignment. Proper data collection and machine parameters like RPM are critical for effective vibration analysis.
Machine Vibration Analysis
This document provides information about vibration analysis and monitoring. It defines key vibration terms like displacement, velocity, acceleration, and frequency. It describes common applications of vibration analysis in industries. It explains how vibration analysis can be used to improve reliability by identifying root causes of faults and ensuring machines are properly maintained. The document discusses different methods of vibration data collection, from simple meters to professional analyzers. It provides an example of a vibration case study on a centrifugal fan and highlights the importance of vibration monitoring in preventing machine failures.
Condition monitoring
This presentation discusses condition monitoring strategies from failures-based to predictive maintenance. It covers predictive maintenance techniques like vibration analysis, wear debris monitoring, and thermography. Vibration parameters like amplitude, frequency, and phase are explained. Common machine faults identified by vibrations are listed. Advanced vibration analysis techniques like phase analysis, Bode plots, and orbit analysis are introduced. Wear debris analysis helps predict internal machine condition by studying worn particles. Thermography uses infrared cameras to detect equipment temperature variations indicative of potential issues.
Vibration analysis
This document provides an introduction to vibration analysis and maintenance. It discusses the different types of maintenance including reactive, preventive, predictive, and proactive maintenance. It then covers vibration fundamentals including waveform, spectrum, frequency, amplitude, and motion. Specific vibration faults like unbalance, misalignment, and bearing defects are examined. The use of spectrum and time waveform analysis to diagnose machine faults is also explained.
Mechanical Maintenance
This document discusses various types of mechanical maintenance including preventive, corrective, operational, and lubrication maintenance. Preventive maintenance aims to maximize equipment availability and minimize defects by addressing potential issues before they arise. Corrective maintenance repairs equipment after failures occur. Operational maintenance includes inspecting, cleaning, and minor adjustments. Regular lubrication is important as it can decrease early bearing failures and increase bearing life. Proper maintenance helps keep equipment safe, reliable, and productive while avoiding high costs of unexpected breakdowns.
Maintenance & its types
The document discusses different types of maintenance including breakdown, preventive, predictive, corrective, and periodic maintenance. It describes maintenance as preserving equipment and infrastructure by repairing and replacing parts. Effective maintenance planning considers people, location, time, tools, and maintenance information. Key benefits include less downtime, fewer errors and repairs, and improved reliability and safety. Common causes of machinery breakdown include improper maintenance, worn parts, and operator errors. Preventive maintenance software helps coordinate maintenance tasks and store related data.
non-destructive testing ppt
This document discusses non-destructive testing (NDT) methods. It begins by defining NDT as techniques used to evaluate materials without causing damage. It then lists common NDT types like visual inspection, liquid penetrant, ultrasonic, and radiographic testing. For each type, it provides a brief overview of the principles and applications. The document focuses on liquid penetrant testing, describing the procedure and noting it is useful for inspecting parts like aircraft wheels and automotive pistons. It also discusses advantages of NDT like avoiding failures and ensuring safety. In conclusion, it states that NDT can save costs for facilities that implement its methods properly.
CONDITION MONITORING
This document discusses condition monitoring techniques used to assess the health of equipment. It defines condition monitoring as assessing equipment using measurements and monitoring of parameters. The key steps in condition monitoring are identifying critical systems, selecting monitoring techniques, setting baseline readings, collecting and assessing data, diagnosing faults, and reviewing the system. Common monitoring techniques discussed include vibration analysis, temperature monitoring, lubricant analysis, and visual inspection using tools like borescopes. Specific methods like ferrography, spectroscopy, and infrared thermography are also summarized.
Applying Condition Based Monitoring Approach in Engineering Management Services
This document discusses applying condition-based monitoring in facility management services. It describes maintenance strategies like reactive, preventive, and condition-based maintenance. Condition-based maintenance involves monitoring physical parameters like vibration or temperature and establishing engineering limits to detect problems before damage occurs. Various condition monitoring techniques are discussed like vibration analysis, infrared thermography, ultrasound, oil analysis, and power quality analysis. Benefits of condition-based maintenance include predicting failures and scheduling maintenance to avoid downtime.
Introduction to Ultrasonic Testing
This presentation gives an information about Introduction to ultrasonic testing covering the syllabus of Non Destructive testing
What's hot (20)
Vibration monitoring and its features for corelation
Vibration monitoring and its features for corelation
Applying Condition Based Monitoring Approach in Engineering Management Services
Applying Condition Based Monitoring Approach in Engineering Management Services
Viewers also liked
Types of maintenance
This document discusses different types of maintenance for assets including aircraft. It defines maintenance as work carried out to preserve assets and enable continued use over their design life. The main types of maintenance discussed are: breakdown, preventive (periodic and predictive), and corrective. Periodic maintenance involves regular inspection and servicing, while predictive uses condition monitoring. Aircraft maintenance checks ranging from light A/B checks every 500-800 hours to comprehensive D checks every 5 years are also outlined. Nondestructive testing methods like liquid penetrant and eddy current are used during aircraft maintenance inspections.
Environmental Protection Agency Of Montenegro
The Environmental Protection Agency of Montenegro was established in March 2009 to accomplish healthy environmental management in the country. It conducts environmental monitoring, issues permits, and handles inspections and communication. The Agency has 5 sectors that deal with monitoring and reporting, permitting, communication, inspection, and legal/financial affairs. Its vision is for Montenegro to have environmental harmony and its mission is to professionally improve the environment for present and future generations. It recognizes the importance of qualified staff, environmental protection, open communication, and priority over other organizations.
2015 SIDRA School on Underwater Robotics. Introduction
Introduction to the 2015 SIDRA School on Underwater Robotics (http://www.automatica.it/dottorato_scuole.htm)
Mechanical IEEE 2012 Project @ Hades InfoTech
The document lists codes and titles for various mechatronics and vehicular technology projects from Hades InfoTech Pvt. Ltd. It includes 48 projects related to mechatronics from 2012 IEEE Transactions and Conferences on topics like climbing robots, battery charging, sensor fusion, and more. It also lists 24 vehicular technology projects from 2012 IEEE Transactions on subjects including vehicle speed measurement, traffic reduction, electric vehicles, and accident detection.
Aoil diving
This document provides information about Abhay Ocean India Pvt Ltd (AOIL), an Indian commercial diving company. It outlines AOIL's mission, vision, core values, policies, and the services it provides. AOIL has over 35 years of experience in commercial diving services such as inspections, repairs, construction, and salvage operations. It aims to provide these services safely and with a focus on customer satisfaction, environmental protection, and quality work.
Underwater welding
Dry welding and wet welding.
For more presentations and seminars, references,
Go to www.EMechatronix.com
Mems based optical sensor for salinity measurement
1. The document describes a MEMS-based optical sensor using a two-dimensional photonic crystal slab waveguide for measuring salinity.
2. The sensor takes advantage of the fact that the refractive index of sea water changes with salinity concentration. It detects these small refractive index changes by measuring the resulting effective index change in the photonic crystal slab waveguide.
3. Simulation results show that even small refractive index changes due to salinity produce a more significant change in effective index, demonstrating the high sensitivity of the designed sensor. Effective index decreases exponentially with increasing salinity percentage measured.
Cairo Iso 2000
The document summarizes the key changes between ISO 9000:2000 and earlier versions. ISO 9000:2000 takes a process approach and focuses on continual improvement. It addresses eight quality management principles and requires identifying processes, determining requirements, implementing actions, and continual improvement. The main requirements include developing a quality manual, procedures, records, management responsibility, resource management, product realization, measurement and improvement.
Copy to crestronic 9001 2008 awareness
The document provides an overview of the revisions in the ISO 9001:2008 quality management system standard. It introduces the key changes from the previous version, including a stronger focus on customers, leadership and continual improvement. It highlights revised requirements around documentation, resource management, product realization, measurement and improvement. Transitioning organizations must understand the intent of the changes and ensure their quality system meets the new requirements.
Agr Field Operations Pipeline Inspection
This document discusses AGR's field operations services and technologies for pipeline integrity management and inspection. It provides an overview of AGR's strategy, products and services including internal pipeline inspection tools, laser video inspection, and subsea inspection systems. It also presents case studies on internal pipeline inspections and discusses flexible riser inspection technologies.
Zigbee based water quality monitoring system using solar power
Abstract Now a days technology is advancing especially wireless sensor network have numerous application in remote sensing and
controlling. So by this technology various environmental parameters can be monitored. Idea comes into the mind to monitor the
quality of water because water is one of the important factors for living organism. There are various wireless models such as Wi-
Fi, Bluetooth, Wi-Max. Here Zigbee is used as wireless sensor network for monitoring the quality of water because, of its low
cost, low power consumption and easy to operate. Rapid development in industry and human activities affects the quality of water.
Maintaining the good quality of water is a critical problem. But, by using this new wireless technology the task of monitoring
become simple. In this system various sensors are used for monitoring the parameters for water samples as quality of water
depends upon number of parameters such as pH, turbidity, dissolved oxygen and many more. The main parameters for this system
are pH and turbidity, for that pH sensor and turbidity sensor are used. This whole system is powered by solar energy.
Keywords: pH Sensor, Turbidity Sensor, Zigbee
Korea and norway maritime opportunities and challenges in the high north
1) NTNU is a leading Norwegian university focused on science and technology with over 20,000 students. It has strong maritime and marine engineering programs.
2) NTNU conducts extensive research on Arctic challenges like ship design, drilling, and transportation that is important for both Norway and Korea's maritime industries.
3) NTNU collaborates closely with Korean universities like KAIST and has opportunities for further research cooperation in areas like Arctic infrastructure and floating structures in ice.
OPTICLINE C200 C1000 BY JENOPTIK
Medicion de contorno y forma de piezas tipo flecha, cigüeñales, arbol de levas, partes de transmicion,etc.
Somos lideres mundiales en este segmento!!!!
Getting ready for inspection: seminar for early years providers
Getting ready for inspection: seminar for early years providers
Presentation to Nursery World conference 6 February 2015
Sneak preview - SMM presentation
Here is a prelim presentation I will make at the SMM Coatings Conference in Hamburg, Sept. 2010. Contact me for the .ppt after the conference. Sorry but many of the fonts converted automatically as a part of the upload process.
Calibration of MMDs to meet QMS
This presentation is on basic requirement on Claibtration to meet Quality management system in the manufacturing area.
Norsok standards for oil and gas
The document outlines various NORSOK standards for equipment and operations used in the oil and gas industry. There are multiple standards listed for subsea production systems, diving and underwater operations, drilling facilities, instrumentation, materials, piping systems, electrical systems, safety, and other areas. The NORSOK standards are intended for use in offshore and onshore petroleum facilities and operations. The website www.standard.no/petroleum provides updated information on the NORSOK standards.
Emm unit i
Metrology is the science of measurement. It has three main tasks: defining measurement units, realizing measurement units through scientific methods, and establishing traceability in documenting measurement accuracy. Metrology is essential in scientific research and various industries. It covers establishing standards, developing measurement methods, analyzing errors, and ensuring instrument accuracy. Metrology helps plan lives and enable commercial exchanges with confidence as measurements can be seen everywhere.
hull inspection class
As a member of a hull inspection team, you will conduct visual inspections of a ship's hull and document any issues found. Level 1 inspections note damage in writing while Level 2 inspections require detailed measurements. Inspections check components like the bow thruster, keel cooler, rudders, sea chest, drive shaft, and zinc anodes for damage, debris, or corrosion. Measurements and damage descriptions are recorded according to standard procedures. Any unidentified objects like mines are carefully marked and reported. Inspection findings are documented on forms after completing the dive.
Robots for Industrial Inspection
Newton Robotics delivers custom robotic solutions based on advanced machine vision technology. As a solutions provider, Newton Robotics is uniquely organized and staffed to include both development and manufacturing capabilities, based on our multi-disciplinary approach.
Viewers also liked (20)
2015 SIDRA School on Underwater Robotics. Introduction
2015 SIDRA School on Underwater Robotics. Introduction
Mems based optical sensor for salinity measurement
Mems based optical sensor for salinity measurement
Zigbee based water quality monitoring system using solar power
Zigbee based water quality monitoring system using solar power
Korea and norway maritime opportunities and challenges in the high north
Korea and norway maritime opportunities and challenges in the high north
Getting ready for inspection: seminar for early years providers
Getting ready for inspection: seminar for early years providers
Similar to Condition monitoring through non destructive testings of machine ppt
Condition monitoring-through-non-destructive-technique
This document discusses condition monitoring of machines and plants through non-destructive testing techniques. It describes various techniques like vibration monitoring, acoustic emission testing, infrared thermography, ferrography, and field signature mapping. Vibration monitoring is the most common technique, detecting 45% of failures by analyzing machine vibrations. Acoustic emission detects elastic waves from defects to identify issues. Infrared thermography identifies surface and near-surface issues by detecting temperature variations. These non-destructive techniques help predict failures to enable predictive and preventative maintenance.
Introduction to NDE automation1.pdf
Development of remote operated inspection technique for ABWR RIP pipe welds
Study of Ultrasonic Techniques on the Inspection of NPP Components
Development of Automated Electromagnetic Techniques for Inspecting Inner Cracks of LPG Tanks
Reliability Assessment of Automated Eddy Current System for Turbine Blades
Inspection of HTHA on Reactors in CPC Refinery
Sensing and Monitoring Systems: Offshore structures
This document discusses sensing and monitoring systems for offshore structures. It outlines various types of structures and environmental forces. It then describes several sensing technologies used for monitoring strain, vibration, temperature, pressure, flow, and detecting leaks and corrosion. These include sensors for vibration, strain, shock, acoustic detection, temperature, pressure, erosion, corrosion, sand, and downhole wireless systems. Non-destructive testing methods and a modern trident sensing and inspection system are also discussed. The document concludes with recommendations for continuous and periodic monitoring systems and their strengths and weaknesses.
Robot Sensors
This document discusses robot sensors and optical sensors. It provides information on the different types of sensors including contact sensors, non-contact sensors, temperature sensors, strain sensors, biomedical sensors, and electrical/magnetic sensors. It describes the working principles and classifications of optical sensors specifically, listing examples such as chemical sensors, displacement sensors, and sensors used for applications in night vision cameras, biometrics, and partial discharge detection.
Advanced Probes for Austenitic and CRA Weld Inspection Webinar
Free webinar available: http://bit.ly/1qXeQYj
OmniScan MX2 product details: http://bit.ly/1e6mjY8
The OmniScan has established a track record for reliable and cost effective phased array inspections as an alternative to radiography for carbon steel piping and pressure vessel welds. That success is now driving the market for viable inspection solutions for austenitic welds such duplex, stainless steel 304\316\321, and inconel cladded dissimilar metal welds. Advanced probe strategies and more effective probe designs are pushing the limits of what service companies and manufacturers can qualify with regard to full volumetric weld inspection and in-service crack detection and sizing. This presentation will provide a general overview of probe technology used in austenitic weld inspection and how it is deployed in portable phased array systems including live demonstration of austenitic flaw sizing and detection.
Contact us: http://bit.ly/1rDmq94
Sign up for our Newsletter: http://bit.ly/1j5FOTy
ULTRACON-SERVICE Family of Eddy Current Flaw Detectors - From Simple to More ...
ULTRACON-SERVICE Family of Eddy Current Flaw Detectors - From Simple to More ...Svitlana Priannikova
EDDYCON type flaw detectors were developed as convenient instruments with universal properties, able to solve most difficult problems of EC inspection.
Some results of subsurface crack detection in multilayer aircraft components, aluminum alloy arc welding in aerospace constructions, side surfaces of bore holes and steel castings with roughly finished surfaces are presented.Ndt course
Non-Destructive Testing is a simple way of testing without destroying.Techshore Inspection Services, with a humble beginning in Cochin, India started as an Engineering, Procurement and Construction company offering wide range of innovative services and engineering solutions in the field of Oil and Gas, Power and other major industries in the disciplines of Mechanical, Civil, Instrumentation and NDT, soon expanded its business into professional training in all the aforesaid disciplines.
Landmines Detection
The document discusses landmine detection using ground penetrating radar (GPR). It provides background on the landmine problem, current detection methods, and how GPR works to detect landmines. GPR transmits electromagnetic pulses into the ground and receives reflected signals that can reveal the presence of landmines. While GPR shows promise for landmine detection, challenges remain around generating false alarms from background signals and the size and power needs of GPR systems.
C0342011019
This document summarizes research on using vibration signal analysis to detect wear and identify multiple faults in rolling element bearings operating under harsh conditions. A test rig was used to accelerate wear in bearings filled with contaminated grease. Vibration signals were analyzed in the time and frequency domains. Frequency analysis clearly identified faults developing on bearing raceways over time as peaks emerged at the expected fault frequencies, regardless of noise from random particle contamination. Post-test inspections verified the vibration analysis results had correctly identified the fault sources.
Acoustic Emission Basics by Boris Muravin
The document provides a history of acoustic emission (AE) methodology from ancient observations to modern applications. It discusses AE instrumentation including sensors, data acquisition, and analysis methods. Applications of AE include non-destructive testing of pressure vessels, metals, and composite structures to detect cracks and other defects. International standards guide the proper use of AE testing in industrial inspections.
EDDY CURRENT IN AVIATION
EDDYCON C is used for detection of surface cracks in various parts, cracks in holes and multilayered structures, surface and subsurface corrosion.
Eddy current is an acceptable method for detecting conductivity of non-ferrous materials and coating thickness.
Introduction_to_NDT
This document provides an introduction to nondestructive testing (NDT) methods. It defines NDT as using noninvasive techniques to determine the integrity of a material or structure without causing damage. The six most common NDT methods are described as visual inspection, liquid penetrant testing, magnetic particle testing, eddy current testing, ultrasonic testing, and radiography. NDT is used across many industries to inspect materials and components during production and in-service to detect flaws and ensure safety and reliability.
Assessment of Gearbox Fault DetectionUsing Vibration Signal Analysis and Acou...
Maintenance is a set of organised activities that are carried out in order to keep an item in its best
operational condition with minimum cost acquired. Predictive maintenance (PdM) is one of the maintenance
program that recommends maintenance decisions based on the information collected through condition
monitoring techniques, statistical process control or equipment performance for the purpose of early detection
and elimination of equipment defects that could lead to unplanned downtime of machinery or unnecessary
expenditures. Particularly Gears and rolling element bearings are critical elements in rotating machinery, so
predictive maintenance is often applied to them. Fault signals of gearboxes or rolling-element bearings are nonstationary.
This paper concludes with a brief discussion on current practices of PDM methodologies such as
vibration analysis and Acoustic Emission analysis, which are widely used as they offers a complimentary tool
for health monitoring or assessment of gears in rotating machineries
MID Flow Sensor Brochure
This document describes the efector mid volumetric flow sensor from ifm. It can simultaneously monitor the volumetric flow and temperature of conductive liquids. It has a compact, low-cost design and is suitable for applications like cooling water monitoring. Key features include local display of flow, temperature and totals, as well as switching, pulse and analog outputs for remote monitoring. It works based on Faraday's principle of induction to precisely measure flow without moving parts.
PPT INTRODUCTION NDT
This document provides an introduction to non-destructive testing (NDT) methods. It discusses different NDT techniques including radiography, ultrasonic testing, liquid penetration testing, magnetic particle testing, and eddy current testing. For ultrasonic testing specifically, it describes how ultrasonic waves are used to detect inner defects by the echo ranging principle. It provides details on ultrasonic testing equipment, including pulsers/receivers, transducers, and displays. It also discusses factors like frequency selection, probe types, and the contact testing method using normal beam probes. In summary, the document introduces various NDT methods and focuses on describing how ultrasonic testing works and the associated testing equipment.
Acoustic Emission (AE) Testing
Acoustic Emission (AE) refers to the generation of transient elastic waves produced by a sudden redistribution of stress in a material. When a structure is subjected to an external stimulus (change in pressure, load, or temperature), localized sources trigger the release of energy, in the form of stress waves, which propagate to the surface and are recorded by sensors. With the right equipment and setup, motions on the order of picometers (10 -12 m) can be identified. Sources of AE vary from natural events like earthquakes and rockbursts to the initiation and growth of cracks, slip and dislocation movements, melting, twinning, and phase transformations in metals. In composites, matrix cracking and fiber breakage and debonding contribute to acoustic emissions. AE’s have also been measured and recorded in polymers, wood, and concrete, among other materials.
Sensors and their applications
This presentation provides an overview of optical sensors, including their introduction, working principles, classification, applications, and future trends. Optical sensors are classified as either extrinsic or intrinsic based on whether the light interacts with the measurand inside or outside of the optical fiber. They have a wide range of applications in areas such as temperature, chemical concentration, strain, biomedical, and more. The presentation concludes that optical sensor technology will continue to improve and be an important area of research going forward.
Surface Analysis
The document discusses various techniques for analyzing materials at the surface, thin film, and bulk levels including SIMS, AES, ESCA, XRF, EDS, RBS, and others. It provides information on the sensitivities, spatial resolutions, quantitation depths, and types of information provided by each technique. The document also focuses on SIMS specifically, describing its principles, instrumentation types, analytical conditions, detection limits, applications for analyzing LEDs, and comparisons to other techniques.
Intro to ndt
This document provides an introduction to nondestructive testing (NDT) methods. It defines NDT as using noninvasive techniques to determine the integrity of a material or structure without causing harm. The six most common NDT methods are described as visual inspection, liquid penetrant testing, magnetic particle testing, ultrasonic testing, eddy current testing, and radiography. Examples are given of how NDT is used to inspect components in various industries such as aviation, pipelines, bridges and more.
Intro to ndt
This document provides an introduction to nondestructive testing (NDT) methods. It defines NDT as using noninvasive techniques to determine the integrity of a material or structure without causing harm. The six most common NDT methods are described as visual inspection, liquid penetrant testing, magnetic particle testing, ultrasonic testing, eddy current testing, and radiography. Examples are given of how NDT is used to inspect components in various industries such as aviation, pipelines, bridges and more.
Similar to Condition monitoring through non destructive testings of machine ppt (20)
Condition monitoring-through-non-destructive-technique
Condition monitoring-through-non-destructive-technique
Sensing and Monitoring Systems: Offshore structures
Sensing and Monitoring Systems: Offshore structures
Advanced Probes for Austenitic and CRA Weld Inspection Webinar
Advanced Probes for Austenitic and CRA Weld Inspection Webinar
ULTRACON-SERVICE Family of Eddy Current Flaw Detectors - From Simple to More ...
ULTRACON-SERVICE Family of Eddy Current Flaw Detectors - From Simple to More ...
Assessment of Gearbox Fault DetectionUsing Vibration Signal Analysis and Acou...
Assessment of Gearbox Fault DetectionUsing Vibration Signal Analysis and Acou...
Recently uploaded
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
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.How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
June Patch Tuesday
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.
Artificial Intelligence for XMLDevelopment
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.
HCL Notes and Domino License Cost Reduction in the World of DLAU
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
TrustArc Webinar - 2024 Global Privacy Survey
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
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 6
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
Webinar: Designing a schema for a Data Warehouse
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Recently uploaded (20)
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Condition monitoring through non destructive testings of machine ppt
- 1. WELCOME
- 2. CONDITION MONITORING THROUGH NON DESTRUCTIVE TESTINGS OF MACHINES AND PLANTS PRESENTED BY : ANOOP GOPAL ROLL NO: 09 S7 MECHANICAL
- 5. CONDITION BASED MAINTENANCE 2.PREVENTIVE 3.PREDICTIVE 1.BREAK DOWN MAINTENANCE
- 6. NDE TECHNIQUES 1.VIBRATION MONITORING 2.ACOUSTIC EMISSION (AE) 3.INFRARED THERMOGRAPHY (IRT) 4.FERROGRAPHY 5.FIELD SIGNATURE MAPPING (FSM)
- 8. ANALYSIS OF RESULTS 1. VIBRATION CAUSE IDENTIFICATION Sl No FAULT FREQUENCY DIRECTION OF VIBRATION 1 ROTATING UNBALANCE SAME AS RUNNING SPEED RADIAL 2 MISALIGNMENT OF BEARINGS 2*SPEED RADIAL AND AXIAL 3 ROLLER BEARING DEFECT AT BALL OR ROLLER SPEEED ULTRA SONIC FREQUENCIES(20-60KHz) RADIAL AND AXIAL 4. OIL FILM WHIRL IN HIGHSPEED TURBO MACHINES 0.5*SPEED RADIAL 5 DAMAGED OR WORN GEARS No: OF TEETH* RPM RADIAL
- 9. VIBRATION METER (HAND HELD) Vibration Meter : for imbalance, structural weakness, loose parts etc INDUSTRIAL MACINERY CLASSIFICATION Class 2: Medium size machines without special foundation Class 3: Large machines on rigid foundations Class 4: Large machines on soft foundations. SPM VIB-11 by SKF
- 12. GROWTH THROUGH CBM ACTIVITIES AT RSP No: of machines BREAK DOWNS PREVENTED-10-102 EQUIPMENTS INCLUDED - 40-140 year
- 13. ACOUSTIC EMISSION MONITORING AE sensors respond with amazing sensitivity to motion in the low ultrasonic frequency range (10 kHz - 2000 kHz). Motions as small as 10 -12 inches and less can be detected
- 14. ACOUSTIC-EMISSION METHOD This method is based on the registration of the elastic compression waves that are emitted by the defects developing in the stressed constructions.
- 19. r aw thermo graphic data. data after removing the noise and vertical gradient. data processed for the local gradient in surface temperature. CASE STUDY high strength welds Fig setup for infrared testing of lap joints correspond to low strength welds.
- 21. HOW IS THE TEST PERFORMED Tests Conditions Detected # Abnormal Wear Fuel Dilution Dirt Water Coolant Incorrect Oil Oxidation Additive Depletion Glycol Test * Viscosity * * Appearance/Odor * * * * * Spectrometric Analysis * * * * Alkaline Reserve * * Blotter Spot Test * * * Water Content * Distillation * Flash Point *
- 22. WEAR METAL ORIGIN TABLE METAL WEAR POSSIBLE ORIGIN. ALUMINIUM BEARINGS,BLOCKS,BLOWERS,BUSHINGS, CLUTCHES,PISTONS. CHROMIUM BEARINGS,PUMPS,RINGS,RODS. COPPER BEARINGS,BUSHINGS,CLUTHES,WASHERS. IRON BLOCKS,CRANK SHAFTS, CYLINDERS,DISCS. SILVER SOLDERS. TIN PISTONS.
- 23. MEASURING INSTRUMENT ModelT2FMAnalytical Ferrograph . Bi chromatic microscope. Video camera. Video capture card. Image capture software. industrial standard personal computer . This measure the effects of Contamination and electro-chemical changes that occur in synthetic and petroleum based oils
- 25. FIELD PATTERN Sensing pins (electrodes) in an array over the monitored area to detect changes in the electrical field pattern. The voltage = the signature . Graphical plots indicating the severity and location of corrosion, and calculates actual corrosion and metal loss
- 26. INDUSTRIAL ARRANGEMENT A typical refinery monitors high temperature areas such as heater bends in the distillation unit.
- 27. CONCLUSION
- 28. SUMMARY OF APPLICABILITY AND CAPABILITY OF VARIOUS NDT TECHNIQUES NDT TECHNIQUE DETECTION CAPABILITY NON CONTACT INSPECTION AUTOMATED INSPECTION DEFECT SIZING VIBRATION VOLUMETRIC POSSIBLE POSSIBLE POSSIBLE ACOUSTIC EMISSION VOLUMETRIC POSSIBLE POSSIBLE NOT POSSIBLE I R THERMO- GRAPHY SURFACE , NEAR SURFACE POSSIBLE POSSIBLE POSSIBLE FERROGRAPHY VOLUMETRIC POSSIBLE POSSIBLE POSSIBLE F S M SURFACE, NEAR SURFACE POSSIBLE POSSIBLE POSSIBLE
- 29. THANK YOU