Lifetime Data Analysis (LDA): How to Prepare a Historical Database for Reliability Prediction

 

Training Objectives

• Understanding the LDA methodology concept as basic of reliability engineering assessment
• Understanding the reliability, failure rate MTTF, MTBF, MTTR concepts
• Understanding the probability density functions such as exponential, lognormal, logistic, loglogistic, weibull, Normal, Gumbel , Gama, others
• Understanding the advantages of fit tests such as Plot method, Regression, likelihood, Chi-square, Komogorov Smirnov and Cramer von mises
• Understanding different specialist elicitation methods
• Understanding how to build up an equipment failure and repair database
• Understanding how to collect data from databases to perform LDA

Training Outline

2 Hours	Reliability concepts Statistics concepts Reliability concepts Failure rate Concept MTBF, MTTF and MTTR concepts Specialist elicitation methods
2 Hours	Historical failure and repair database Type of data Different historical data levels How to build up an equipment database How to collect data from databases to perform LDA RCA analysis FRACAS
4 Hours	Probability Density Functions Exponential Normal Logistic Lognormal Log logistic Gumbel Weibull Gama Others
2 Hours	Advantages of Fit test Plot method. Regression Method. Likelihood method Chi-square method. Smirnov Komogorov Cramer Von Mises
6 Hours	Lifetime data analysis application cases Pumps LDA. Compressors LDA Heat Exchanger LDA Valves LDA Sensor LDA Pipes LDA Furnace LDA

 

Who Should Attend?

The following selected participants should attend this course:

• Asset Managers, Maintenance Managers, Production Managers.
• Reliability Engineer/Maintenance Engineer/ Supervisor
• Rotating Engineer/ Static Engineer/Supervisor
• Design Engineer/Production Engineer/
• Professionals who want to broaden their knowledge of these topics

 

Register today at info@bqr.com