Full Support for Traditional Reliability Growth Analysis

RGA provides a comprehensive array of analysis options for situations when it is appropriate to assume that all permanent design improvements are applied by the end of the test (test-fix-test). To accommodate the wide variety of potential test/data collection scenarios, the software supports a flexible selection of data types, growth models and calculated analysis results. This includes:

Times-to-Failure Data

When you have data from developmental testing in which the systems were operated continuously until failure, you can use the Crow-AMSAA (NHPP) or Duane models. RGA provides a choice of data types for individual or grouped failure times, and also for combining data from multiple identical systems. This can include situations where:

With the Crow-AMSAA (NHPP) model, RGA offers additional analysis options for certain situations.

Discrete Data (Also Called Attribute, One-Shot or Success/Failure Data)

When you have data from one-shot (pass/fail) reliability growth tests (and depending on the data type), RGA supports the Standard Gompertz, Modified Gompertz, Lloyd-Lipow or Logistic models in addition to Crow-AMSAA and Duane.

For discrete data, the software provides a choice of data types that can handle tests in which a single trial is performed for each design configuration, multiple trials per configuration, or a combination of both. RGA also supports Failure Discounting if you have recorded the specific failure modes from sequential one-shot tests.

Reliability Data

When you simply wish to analyze the calculated reliability values for different times/stages within developmental testing, you can use the Standard Gompertz, Modified Gompertz, Lloyd-Lipow or Logistic models.

Calculated Results and Plots for Traditional RGA

For traditional reliability growth analysis (and depending on the data type and RGA model), you will be able to:

The Quick Calculation Pad (QCP) has been updated and redesigned in the Synthesis version. The new interface provides a "Calculation Log" that works like a paper roll in an adding machine, allowing you to record the results from a series of different calculations and then copy/paste the information as needed.

Weibull++ Reliability Life Data Analysis ALTA Accelerated Life Testing Data Analysis DOE++ Experiment Design and Analysis RGA Reliability Growth and Repairable System Analysis BlockSim System Reliability and Maintainability Analysis RENO for Risk Analysis via Discrete Event Simulation Lambda Predict Reliability Prediction Xfmea FMEA and FMECA RCM++ Reliability Centered Maintenance MPC MSG-3 Maintenance Program Creation XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management ALTA Accelerated Life Testing Data Analysis BlockSim System Reliability and Maintainability Analysis DOE++ Experiment Design and Analysis MPC MSG-3 Maintenance Program Creation Lambda Predict Reliability Prediction RCM++ Reliability Centered Maintenance RENO for Risk Analysis via Discrete Event Simulation RGA Reliability Growth and Repairable System Analysis Weibull++ Reliability Life Data Analysis Xfmea FMEA and FMECA XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management ALTA Accelerated Life Testing Data Analysis BlockSim System Reliability and Maintainability Analysis DOE++ Experiment Design and Analysis MPC MSG-3 Maintenance Program Creation Lambda Predict Reliability Prediction RCM++ Reliability Centered Maintenance RENO for Risk Analysis via Discrete Event Simulation RGA Reliability Growth and Repairable System Analysis Weibull++ Reliability Life Data Analysis Xfmea FMEA and FMECA XFRACAS Web-based FRACAS Orion eAPI Web-based Asset Management    ReliaSoft.com Footer

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