Advanced Reliability/Weibull Analysis

Course Overview

This course builds on the fundamental reliability concepts and methods learned in the Reliability/Weibull 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/Weibull Analysis course (or equivalent).

Seminar 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

Reliability Growth Models

Duane model
AMSAA model

Analysis of Binary Response Data

Probit Model
Analysis of Binary Response Data Using Software

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