Advanced Reliability Analysis Training
This 2-day course builds on the fundamental reliability concepts and methods learned in the Reliability Analysis course. This course goes beyond reliability estimation and reporting by covering methods for improving reliability. Other advanced topics include accelerated life testing, analyzing repairable systems data, and analyzing binary response data. It is assumed that participants have taken the Reliability Analysis course (or equivalent).
Contact us to register or download this form and follow the instructions for registation.
Course Content
Reliability Test Planning
- Test Planning Regimes
- Sample Size Calculations
- Using Software for Reliability Estimation Test Plans
- Reliability Demonstration Test Plans
Regression Modeling of Reliability Data
- Overview of Simple Linear Regression Models
- Lognormal and Weibull Accelerated Failure Time (AFT) Models
- Using Software for Regression of Failure Time Data (Example)
Accelerated Life Testing (ALT)
- Accelerating Methods
- Accelerated Life Test Models
- Arrhenius Models
- Inverse Power Law Models
- Strategy for Analyzing ALT Data
- Planning Accelerated Life Tests
- Accelerated Life Test Analysis Using Software
Repairable Systems Analysis
- Mean Cumulative Function
- Rate of Occurrence of Failure (ROCOF)
- Parametric Models for Repairable Systems
- Homogeneous Poisson process
- Non-Homogeneous Poisson process
- Power ROCOF Model
- Tests for Trends
- Repairable Systems Analysis Using Software
- Maintainability
Reliability Growth Models
- Duane model
- AMSAA model
Analysis of Binary Response Data
- Probit Model
- Analysis of Binary Response Data Using Software
Contact us to register or download this form and follow the instructions for registation.