Application Examples for RGA
ReliaSoft's RGA reliability growth and repairable systems data analysis software provides a comprehensive platform for the application of reliability growth models for the analysis of both developmental test data and fielded repairable systems. Some of the many useful applications include the ability to:
- Quantify reliability growth achieved with each successive design prototype.
- Determine the feasibility of achieving reliability goals with a given test/fix strategy.
- Calculate optimum overhaul times and other results for fielded repairable systems without the detailed data sets that would normally be required for repairable system analysis.
We have compiled some case studies to demonstrate the types of analyses that you will be able to perform with RGA.
For the actual case studies, the data and/or exact test method that were used may have been modified in cases where the actual information was deemed to be confidential.
Simple MTBF Determination
This example shows how to solve for the demonstrated MTBF using interval data that were collected from five helicopters during the final test phase.
Working with Grouped per Configuration Discrete (Success/Failure) Data
This example examines the analysis of a "one-shot" system undergoing reliability growth development testing during which different tests are performed on different design configurations.
Developmental Testing with Corrective Actions Implemented During the Test and Delayed Fixes
This example is based on the paper An Extended Reliability Growth Model For Managing And Accessing Corrective Actions by Dr. Larry Crow, presented at the 2004 RAMS. It examines developmental testing on a product during which identified failures are ignored, corrected during the test or corrected after the test.
Fielded Systems Analysis
This example illustrates how to use the Crow Extended model with the Fleet data type to analyze data from fielded systems. It is shown that the beta = 1 assumption is not valid when the Repairable data type is used to analyze the data set, but it is valid when the Fleet data type is used.
Analyzing Software Reliability Growth
This example examines a typical software reliability growth scenario. When the time required to reach the failure intensity goal is initially higher than expected, a subset of the full data set is analyzed instead.
Multi-Phase Planning and Analysis
This example presents three features within RGA — the Crow Extended - Continuous Evaluation model, the growth planning folio and the multi-phase plot — and explains how they can be combined to conduct a reliability growth analysis.