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
|
2 Hours |
Historical failure and repair database
|
4 Hours |
Probability Density Functions
|
2 Hours |
Advantages of Fit test
|
6 Hours |
Lifetime data analysis application cases
|
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