Reliability Growth

Model System Reliability as Changes Are Implemented

The Reliability Growth platform models the change in reliability of a single repairable system over time as improvements are incorporated into its design. A reliability growth testing program attempts to increase the system’s mean time between failures (MTBF) by integrating design improvements as failures are discovered.

The Reliability Growth platform fits Crow-AMSAA models. These are non-homogeneous Poisson processes with Weibull intensity functions. Separate models can accommodate various phases of a reliability growth program. The platform also fits models for multiple systems.

Figure 10.1 Example of Plots for a Three-Phase Reliability Growth Model 

Contents

Overview of the Reliability Growth Platform

Example Using the Reliability Growth Platform

Launch the Reliability Growth Platform

Launch Window Roles

Data Table Structure

The Reliability Growth Report

Model Descriptions and Feasibilities

Observed Data Report

Reliability Growth Platform Options

Model Reports

Crow AMSAA

Crow AMSAA with Modified MLE

Fixed Parameter Crow AMSAA

Piecewise Weibull NHPP

Reinitialized Weibull NHPP

Piecewise Weibull NHPP Change Point Detection

Additional Examples of the Reliability Growth Platform

Piecewise NHPP Weibull Model Fitting with Interval-Censored Data

Piecewise Weibull NHPP Change Point Detection with Time in Dates Format

Statistical Details for the Reliability Growth Platform

Statistical Details for the Crow-AMSAA Report

Statistical Details for the Piecewise Weibull NHPP Change Point Detection Report