RGA: Reliability Growth Analysis and Repairable System Analysis

Reliability growth and repairable system analysis

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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.

Synthesis Integration

With integration into the Synthesis Platform, analyses are now stored in a centralized database that supports simultaneous access by multiple users and shares relevant reliability information between Synthesis-enabled software tools. For enterprise-level repositories, both Microsoft SQL Server® and Oracle® are supported.

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

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.
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Software Capability Highlights

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

Models for Traditional Reliability Growth

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

Models for Growth Projections, Planning and Management

  • Crow Extended
  • Crow Extended-Continuous Evaluation

Models for Fielded Systems

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

Analysis Methods
(depends on the data type and model)

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

Results and Plots - Traditional RGA
(depends on the data type and model)

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

Results and Plots - Growth Planning and Management

  • MTBF (or Failure Intensity)
    • Demonstrated/Achieved
    • Projected
    • Growth Potential
  • Cumulative Number of BD Modes
  • Discovery Rate/MTBF for New BD Modes

Results and Plots - Fielded Systems
(depends on the data type and model)

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

Reliability Growth Program Plans for Multiple Test Phases

  • Growth Planning Folio
    • Nominal Idealized Growth Curve
    • Actual Idealized Growth Curve
  • Multi-Phase Data Sheets
    • Flexible Event Codes
    • Test for Fix Effectiveness
  • Multi-Phase Plots
    • Show growth across test phases
    • Track test results against the plan

Mission Profile Folio

  • Track actual vs. expected usage
  • Use convergence points to group test data

Data Set Simulation (based on NHPP)

  • Monte Carlo Data
  • SimuMatic®

Other Utilities

  • Test Design for Repairable Systems
  • Interval Goodness-of-Fit Test
  • Quick Statistical Reference

Advanced Plotting Tools

  • Overlay Plots (aka Multi-Plots)
  • Side-by-Side Plots
  • RS Draw® Metafile Graphics Editor

Customizable Reports

  • Spreadsheet Templates
  • Function Wizard

Synthesis Integration

  • Publish models based on data analyses
  • Extract incident report data from XFRACAS
  • Extract the first failure time for each failure mode and analyze in Weibull++

Documentation and Training

Integration into the Synthesis Platform

Centralized Data Storage

  • Standard Repository (*.rsrp or *.rsr9)
  • Microsoft SQL Server® or Oracle®
  • Shared Analysis Settings and Data
  • Automatic Backups

Integration Between Synthesis Applications

  • Facilitate effective collaboration
  • Leverage overlap of reliability activities
  • Encapsulate reusable information
  • Create/share statistical models based on analysis results
  • Update multiple analyses simultaneously
  • View action items from any application

Project Management

  • Project Categories
  • Locked/Private Projects
  • Restore Points and History Log
  • Attachments

Messages and Actions Management

  • Create/track action items
  • Send/receive messages within the software
  • Create automated e-mail notifications

Simultaneous Access by Multiple Users

  • Single-user, multi-user and enterprise deployments
  • Flexible user access levels
  • Check projects in/out

Third-Party Connectivity and Data Sharing

  • The Synthesis API
    • Transfer data and analyses between systems
    • Leverage the analysis and plotting engines used in Synthesis
  • Synthesis Enterprise Portal (SEP)
    • Share key analysis information using any web-enabled device
    • Track, manage and update progress

Available Services

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