

Our mission is to lead innovation by providing the most advanced solutions in reliability and sustainability to empower…
REC is looking to the future by aligning business goals with Saudi Arabia’s 2030 Vision. Part of this is investing in our young people and their future.
Reliability Expert Center was established with the strategic vision of spreading a reliability and sustainability culture across Saudi Arabia.
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:
These examples demonstrate some of the types of analyses you can perform with this application. For additional product documentation, including the Quick Start Guide, visit the Synthesis eDocs & ePubs Library..
Latest Release
10.1.6 ♦ 24-Oct-2016 | Update
Purchase Options![]()
Single-user and floating licenses. Multi-product suites and token-based licenses are also available.
Example 1:
This example shows how to solve for the demonstrated MTBF using interval data that were collected from five helicopters during the final test phase.
Example 2:
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.
Example 3:
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.
Example 4:
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.
Example 5:
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.
Example 6:
This example illustrates how to use the mission profile folio to group failure times data based on specified convergence points. This strategy can help to achieve more balanced results from analysis with the Crow Extended model.
Example 7:
This example illustrates how to use the mission profile folio to group failure times based on specified convergence points. This strategy can help you achieve more balanced results from analysis with the Crow Extended model.