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RS 511
Reliability Growth, Repairable System Data Analysis and RGA
Course Overview

This practical course addresses data analyses for systems under developmental reliability growth testing and for systems subjected to operational testing or customer field usage. This results-oriented course provides both practical information and methods for planning, assessing and managing a Reliability Growth program. This course gives an introduction to reliability growth history and presents empirical data illustrating common reliability growth patterns, trends, growth rates and effectiveness factors. The most widely used and practical reliability growth models for the typical management and data analysis situations encountered in practical are discussed. These proven reliability growth methods and models are illustrated with step-by-step guidance on practical applications using ReliaSoft's RGA, a software tool co-developed with Dr. Crow and designed expressly for the analysis of reliability growth and repairable systems data. In addition, the course provides proven models and methods to analyze system and fleet reliability for the common situation where the systems are repaired upon failure (not replaced). The repairable systems models and applications are illustrated for systems subjected to operational testing and customer field usage. The course and ReliaSoft's RGA software provide practical solutions based on actual field data input for warranty analysis, burn-in periods, wear-out rates, mission reliability as a function of system age, optimum replacement policies and fleet reliability growth.

The course presents the theory and required background and also concentrates on practical applications. The theoretical portion of the course discusses state-of-the-art methods for planning and evaluating the reliability of complex systems during three key life cycle phases: design, development testing, and operational or customer field use. Areas covered include failure mode management strategy, the Crow (AMSAA) model, the Extended model for managing reliability growth in development and the Power Law model for assessing the reliability of repairable systems.

The practical application portion of the course involves exploration and interactive hands-on learning (using PCs and software) to complement and enhance the attendee's knowledge of the subject of Reliability Growth and Repairable System Data Analysis. This integrated presentation of both the underlying theories and the software will enable the attendee to quickly and easily apply the learned concepts and the methods in the workplace.

Course Outline

Reliability Growth Management and Planning

  1. Reliability Management Strategy Terms and Concepts in Design and Testing
  2. Developing A Program’s Idealized Growth Curves
  3. Developing A Program's Planned Growth Curve
  4. Estimating the Reliability at the Start of Growth Testing
  5. Estimating the System’s Maximum Reliability or Growth Potential
  6. Assigning Reliability Growth Fix Effectiveness Factor in Planning Stage
  7. Managing Reliability Growth Using Type A and Type B Failure Mode Methodology

Reliability Growth Analysis, Implementation and Strategy Management

  1. Duane Reliability Growth Postulate
  2. Crow (AMSAA) Reliability Growth Tracking Model
    1. Continuous Data (e.g. hours)
    2. One Shot data (e.g. rounds)
    3. Grouped data when Failure Times are not Known
    4. Intervals With Missing Data
  3. Crow Extended Model for Projections on Proposed Future Corrective Actions
  4. Estimating Reliability Growth Across Test Phases
  5. Reliability Growth Confidence Intervals and Goodness of Fit Tests
  6. Estimating Reliability Growth Fix Effectiveness Factors from Data
  7. Estimating Growth Rates and the System’s Reliability Growth Potential
  8. Changing Management Strategy Based on Data to Attain Requirements and Goals

Repairable System Analysis

  1. Evaluating the Reliability of Repairable Systems Using Operational Test Data or Field Customer Use Data Based on Power Law Model
  2. Methods For Warranty Analysis for Repairable Systems
  3. Optimum Replacement and Overhaul Analysis Methods for Fielded, Repairable Systems
  4. Reliability Confidence Intervals for Fielded, Repairable Systems
  5. Analyzing the Overall Reliability Trend for a Fleet of Systems
  6. Methods to Evaluate The Reliability Growth for Fielded Systems Based On Proposed Upgrades, Product Improvements or Corrective Actions.

Application of Reliability Growth and Repairable System Theory (Hands-on Using Computers and Software)

  1. Overview of the RGA software
  2. Applying previously presented theory utilizing RGA
  3. Illustrating RGA using real life examples
  4. Examples and case studies
  5. Hands-on session using ReliaSoft's RGA

 

Software Used

RGA for Reliability Growth and Repairable System Data Analysis

Summary
Course Length
3 Days
CEUs
2.1
Prerequisites
Basic knowledge of undergraduate mathematics and statistics.

Knowledge of principles covered in RS 401 is desired but not required.

Instructor
Staff
On-Site Available?
YES
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