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Book Description

This textbook reviews the methodologies of reliability prediction as currently used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It then discusses why these are not successful; and, presents methods developed by the authors for obtaining accurate information for successful prediction. The approach is founded on approaches that accurately duplicate the real world use of the product. Their approach is based on two fundamental components needed for successful reliability prediction; first, the methodology necessary; and, second, use of accelerated reliability and durability testing as a source of the necessary data.

Applicable to all areas of engineering, this textbook details the newest techniques and tools to achieve successful reliabilityprediction and testing. It demonstrates practical examples of the implementation of the approaches described. This book is a tool for engineers, managers, researchers, in industry, teachers, and students. The reader will learn the importance of the interactions of the influencing factors and the interconnections of safety and human factors in product prediction and testing.

Table of Contents

  1. Cover
  2. Copyright
  3. Dedication
  4. Preface
    1. References
  5. About the Authors
    1. Edward L. Anderson
  6. Introduction
    1. What is reliability?
    2. Who gains from improved reliability?
  7. Chapter 1: Analysis of Current Practices in Reliability Prediction
    1. 1.1 Overview of Current Situation in Methodological Aspects of Reliability Prediction
    2. 1.2 Current Situation in Practical Reliability Prediction
    3. 1.3 From History of Reliability Prediction Development
    4. 1.4 Why Reliability Prediction is Not Effectively Utilized in Industry
    5. References
    6. Exercises
  8. Chapter 2: Successful Reliability Prediction for Industry
    1. 2.1 Introduction
    2. 2.2 Step‐by‐Step Solution for Practical Successful Reliability Prediction
    3. 2.3 Successful Reliability Prediction Strategy
    4. 2.4 The Role of Accurate Definitions in Successful Reliability Prediction: Basic Definitions
    5. 2.5 Successful Reliability Prediction Methodology
    6. References
    7. Exercises
  9. Chapter 3: Testing as a Source of Initial Information for Successful Practical Reliability Prediction
    1. 3.1 How the Testing Strategy Impacts the Level of Reliability Prediction
    2. 3.2 The Role of Field Influences on Accurate Simulation
    3. 3.3 Basic Concepts of Accelerated Reliability and Durability Testing Technology
    4. 3.4 Why Separate Simulation of Input Influences is not Effective in Accelerated Reliability and Durability Testing
    5. References
    6. Exercises
  10. Chapter 4: Implementation of Successful Reliability Testing and Prediction
    1. 4.1 Direct Implementation: Financial Results
    2. 4.2 Standardization as a Factor in the Implementation of Reliability Testing and Prediction
    3. 4.3 Implementing Reliability Testing and Prediction through Presentations, Publications, Networking as Chat with the Experts, Boards, Seminars, Workshops/Symposiums Over the World
    4. 4.4 Implementation of Reliability Prediction and Testing through Citations and Book Reviews of Lev Klyatis's Work Around the World
    5. 4.5 Why Successful Product Prediction Reliability has not been Widely Embraced by Industry
    6. References
    7. Exercises
  11. Chapter 5: Reliability and Maintainability Issues with Low‐Volume, Custom, and Special‐Purpose Vehicles and Equipment
    1. 5.1 Introduction
    2. 5.2 Characteristics of Low‐Volume, Custom, and Special‐Purpose Vehicles and Equipment
    3. References
    4. Exercises
  12. Chapter 6: Exemplary Models of Programs and Illustrations for Professional Learning in Reliability Prediction and Accelerated Reliability Testing
    1. 6.1 Examples of the Program
    2. 6.2 Illustrations for these and Other Programs in Reliability Prediction and Testing
  13. Index
  14. End User License Agreement
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