Advanced Reliability Analysis
Building on the fundamental reliability concepts and methods
covered in the Reliability Analysis course, this program 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.
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
Reliability Growth Models
Analysis of Binary Response Data
- Probit Model
- Analysis of Binary Response Data Using
Software
Each participant will receive a comprehensive
manual and a Certificate of Completion at the close of the
seminar.
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