RGA: Reliability Growth Analysis and Repairable System Analysis Software Tool

Reliability growth and repairable system analysis

Click to see a picture of the software interface...ReliaSoft's RGA is a powerful software tool that allows you to apply reliability growth models to analyze data from both developmental testing and fielded repairable systems. In the development stage, the software allows you to quantify the reliability growth achieved with each successive design prototype and also provides advanced methods for reliability growth projections, planning and management. For systems operating in the field, RGA allows you to calculate optimum overhaul times and other results without the detailed data sets that normally would be required for repairable system analysis. 

The development of RGA was a joint effort between ReliaSoft Corporation and
Dr. Larry Crow, the leading authority in the field of reliability growth analysis, along with key development partners in government and industry. This collaboration has resulted in an application-oriented software package with all of the major reliability growth models, plus formulations that are not available anywhere else. 

Software Features

RGA includes full support for traditional reliability growth analysis using the applicable models — Crow-AMSAA (NHPP), Duane, Gompertz, Modified Gompertz, Lloyd-Lipow or Logistic — for a variety of developmental data types — time-to-failure, discrete (success/failure) and reliability data. In addition, the software provides exclusive support for innovative approaches that facilitate reliability growth projections, reliability growth program planning and multi-phase reliability growth analysis. RGA helps to create operational test plans that effectively balance all of the mission profiles that need to be tested to make sure the testing yields data appropriate for reliability growth analysis. The software also provides opportunities for fielded repairable system analysis, including a Design of Reliability Test (DRT) utility and a method for analyzing the system's reliability behavior over time in order to calculate optimum overhaul times and other metrics of interest.

Available Training

ReliaSoft offers a comprehensive three-day training course that addresses the topic of applying reliability growth models to analyze developmental testing data and also fielded repairable systems. By combining a solid theoretical foundation with practical application examples and hands-on software training, this course will give you the knowledge and skills you will need to successfully apply these important reliability techniques.

Application Examples

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.
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Software Capability Highlights

Models for Traditional Reliability Growth Analysis

  • Crow-AMSAA (NHPP)
  • Duane
  • Standard Gompertz
  • Modified Gompertz
  • Lloyd-Lipow
  • Logistic

Models for Reliability Growth Projections, Planning and Management

  • Crow Extended
  • Crow Extended-Continuous Evaluation

Models for Fielded Systems

  • Crow-AMSAA (NHPP)
  • Power Law
  • Crow Extended

Data Types

  • Times-to-Failure Data
    • Individual or Grouped
    • Multiple Systems
    • Multi-Phase Data
  • Discrete (Success/Failure) Data
    • Individual or Grouped
    • With or Without Mode ID
  • Reliability Data
  • Fielded Systems Data
    • Repairable Systems
    • Fleet Data

Analysis Methods
(depends on the data type and model)

  • Maximum Likelihood or Least Squares
  • Confidence Bounds using Fisher Matrix, Crow or Least Squares
  • Goodness of Fit Tests

 

Results and Plots - Traditional RGA

  • MTBF and Failure Intensity
    • Cumulative or Instantaneous
  • Expected Number of Failures
  • Reliability and Unreliability
    • Average or Instantaneous

Results and Plots - Growth Planning and Management

  • MTBF and Failure Intensity
    • Demonstrated, Projected and Growth Potential
    • Actual and Nominal
  • Cumulative Number of Failures
  • Pie Charts for Average Failure Mode Strategy
    • % Type A - Not Fixed
    • % Type BC - Fixed During Test (Both Seen and Unseen)
    • % Type BD - Fixed After Test (Both Seen and Unseen)
  • BD Failure Modes
    • Cumulative Number (Seen)
    • Discover Rate (New, Unseen)
    • MTBF (New, Unseen)
  • Bar Charts for Individual Modes
    • MTBF
    • Failure Intensity
  • Beta Bounds

Results and Plots - Fielded Systems

  • Conditional Reliability and Unreliability
  • MTBF or Failure Intensity
    • Cumulative or Instantaneous
  • Expected Number of Failures
  • Optimum Overhaul
  • System Operation Plot

Reliability Growth Program Plans for Multiple Test Phases

  • Growth Planning Folio
  • Data Sheets with Event Codes to Define Phases
  • Multi-Phase Plots
  • Operational Mission Profiles

Utilities Based on NHPP Model

  • Monte Carlo Data Generation
  • SimuMatic®
  • Design of Reliability Tests (DRT) for Repairable Systems

Other Integrated Utilities

  • Quick Calculation Pad
  • Quick Statistical Reference
  • Spreadsheets and Function Wizard
  • MultiPlots and Side-by-Side Plots
  • RS Draw® Metafile Graphics Editor

Import Types

  • Microsoft Excel® Files
  • Text Files (*.txt. *.csv, *.prn, *.smc)
  • Analyses from RGA 6

Multiple Languages Supported

For details, please visit www.ReliaSoft.com/languages/index.htm

Available Services

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