Reliability and Survival Methods • Reliability Growth
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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 9.1 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

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Help created on 7/12/2018