Outline Rationale
| Course Content |
Why |
| Reliability in an engineering context |
So you can work with engineers |
|
Reliability fundamentals
- Failure rate, integrated hazard, etc.
- Models used in reliability modeling
- Censored data
|
Core reliability knowledge
- The language of reliability
- Basis of parametric data analysis
- Data found in reliability studies
|
|
Simple methods for analyzing reliability data
- Method of moments
- Graphical methods
- Product-limit estimator
- Competing risks
|
The techniques familiar to engineers.
- Still widely used
- Most common and useful methods
- A real breakthrough
- Useful in reliability improvement
|
|
Maximum likelihood estimation
- Delta method
- Likelihood ratio methods
- Graphical goodness of fit techniques for non location-scale
families
|
Basis of all advanced reliability methods
- Many quantities of engineering interest are functions of
parameters.
- Basis of all modern model testing and identification
- Basis of many modern model validation techniques
|
|
Regression with reliability data
- Accelerated life model
- Temperature and voltage acceleration
- Proportional hazards model
- Weibull regression and ANOVA
|
Most important statistical method
- Most frequent consulting question
- Most common accelerations
- Basis of Cox Model for Semiparametric regression
- Most common technique for dealing with covariates
|
| Cox proportional hazard semiparametric model |
Another real breakthrough |
| Bayesian reliability |
Another data analysis paradigm useful in high reliability
applications |
|
System reliability
- Block diagram method
- Markov methods
- Availability
|
Core methods needed to pass the CRE
- Most widely uses technique
- More powerful technique
- Repairable system analysis
|
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