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Reliability Prediction and Testing Textbook

ISBN-13: 9781119411888 / Angielski / Twarda / 2018 / 272 str.

Lev M. Klyatis;Edward L. Anderson
Reliability Prediction and Testing Textbook Lev M. Klyatis Edward L. Anderson  9781119411888 John Wiley & Sons Inc - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Reliability Prediction and Testing Textbook

ISBN-13: 9781119411888 / Angielski / Twarda / 2018 / 272 str.

Lev M. Klyatis;Edward L. Anderson
cena 644,18
(netto: 613,50 VAT:  5%)

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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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Quality Control
Wydawca:
John Wiley & Sons Inc
Język:
Angielski
ISBN-13:
9781119411888
Rok wydania:
2018
Ilość stron:
272
Waga:
0.55 kg
Wymiary:
23.11 x 15.24 x 1.78
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

Preface xi
Lev M. Klyatis and Edward Anderson

About the Authors xix

Introduction xxiii
Lev M. Klyatis

1 Analysis of Current Practices in Reliability Prediction 1
Lev M. Klyatis

1.1 Overview of Current Situation in Methodological Aspects of Reliability Prediction 1

1.1.1 What is a Potential Failure Mode? 5

1.1.2 General Model 6

1.1.3 Classical Test Theory 6

1.1.4 Estimation 7

1.1.5 Reliability Prediction for Mean Time Between Failures 9

1.1.6 About Reliability Software 9

1.1.6.1 MIL–HDBK–217 PredictiveMethod 10

1.1.6.2 Bellcore/Telcordia PredictiveMethod 11

1.1.6.3 Discussion of Empirical Methods 11

1.1.7 Physics of FailureMethods 12

1.1.7.1 Arrhenius s Law 12

1.1.7.2 Eyring and Other Models 12

1.1.7.3 Hot Carrier InjectionModel 13

1.1.7.4 Black Model for Electromigration 14

1.1.7.5 Discussion of Physics of Failure Methods 14

1.1.8 Life TestingMethod 15

1.1.8.1 Conclusions 15

1.1.8.2 Failure of the Old Methods 17

1.1.9 Section Summary 23

1.2 Current Situation in Practical Reliability Prediction 24

1.3 From History of Reliability Prediction Development 27

1.4 Why Reliability Prediction is Not Effectively Utilized in Industry 30

References 35

Exercises 40

2 Successful Reliability Prediction for Industry 43
Lev M. Klyatis

2.1 Introduction 43

2.2 Step–by–Step Solution for Practical Successful Reliability Prediction 46

2.3 Successful Reliability Prediction Strategy 48

2.4 The Role of Accurate Definitions in Successful Reliability Prediction: Basic Definitions 49

2.5 Successful Reliability Prediction Methodology 53

2.5.1 Criteria of Successful Reliability Prediction Using Results of Accelerated Reliability Testing 53

2.5.2 Development of Techniques for Product Reliability Prediction Using  Accelerated Reliability Testing Results 63

2.5.2.1 Basic Concepts of Reliability Prediction 63

2.5.2.2 Prediction of the Reliability Function without Finding the Accurate Analytical or Graphical Form of the Failures Distribution Law 64

2.5.2.3 Prediction Using MathematicalModelsWithout Indication of the Dependence Between Product Reliability and Different Factors of Manufacturing and Field Usage 65

2.5.2.4 Practical Example 68

References 70

Exercises 71

3 Testing as a Source of Initial Information for Successful Practical Reliability Prediction 75
Lev M. Klyatis

3.1 How the Testing Strategy Impacts the Level of Reliability Prediction 75

3.2 The Role of Field Influences on Accurate Simulation 80

3.3 Basic Concepts of Accelerated Reliability and Durability Testing Technology 83

3.4 Why Separate Simulation of Input Influences is not Effective in Accelerated Reliability and Durability Testing 88

References 96

Exercises 97

4 Implementation of Successful Reliability Testing and Prediction 101
Lev M. Klyatis

4.1 Direct Implementation: Financial Results 102

4.1.1 Cost–Effective Test Subject Development and Improvement 107

4.1.1.1 Example 1 108

4.1.1.2 Example 2 109

4.2 Standardization as a Factor in the Implementation of Reliability Testing and Prediction 110

4.2.1 Implementation of Reliability Testing and Successful Reliability Prediction through the Application of Standard EP–456 Test and Reliability Guidelines for Farm Machinery 110

4.2.2 How theWork in SAE G–11 Division, Reliability Committee Assisted in Implementing Accelerated Reliability Testing as a Component of Successful Reliability Prediction 111

4.2.3 Development and Implementation of Reliability Testing during the Work for the International Electrotechnical Commission (IEC), USA Representative for International Organization for Standardization (ISO), Reliability and Risk (IEC/ISO Joint Study Group) 149

4.3 Implementing Reliability Testing and Prediction through Presentations, Publications, Networking as Chat with the Experts, Boards, Seminars,Workshops/Symposiums Over theWorld 155

4.4 Implementation of Reliability Prediction and Testing through Citations and Book Reviews of MyWork Around theWorld 183

4.5 Why Successful Product Prediction Reliability has not been Widely Embraced by Industry 193

References 194

Exercises 195

5 Reliability and Maintainability Issues with Low–Volume, Custom, and Special–Purpose Vehicles and Equipment 197
Edward Anderson

5.1 Introduction 197

5.2 Characteristics of Low–Volume, Custom, and Special–Purpose Vehicles and Equipment 198

5.2.1 Product Research 202

5.2.2 Vendor Strength 202

5.2.3 Select a Mature Product 203

5.2.4 Develop a Strong Purchase Contract 203

5.2.5 Establish a Symbiotic Relationship 204

5.2.6 Utilize Consensus Standards 204

5.2.7 User Groups/Professional Societies 205

5.2.8 Prerequisites 206

5.2.9 ExtendedWarranties 206

5.2.10 Defect/Failure Definitions/Remedies 206

5.2.11 Pre–Award and/or Preproduction Meetings 207

5.2.12 Variation 207

5.2.13 Factory Inspections 210

5.2.14 Prototype Functional or Performance Testing 210

5.2.15 Acceptance Testing 210

5.2.16 Lead the Fleet Utilization 212

5.2.17 Reserves 212

5.2.18 Problem Log 213

5.2.19 Self–Help 213

References 214

Exercises 214

6 Exemplary Models of Programs and Illustrations for Professional Learning in Reliability Prediction and Accelerated Reliability Testing 217
Lev M. Klyatis

6.1 Examples of the Program 217

6.1.1 Example 1. Several Days Course: Successful Prediction of Product Reliability and Necessary Testing 217

6.1.2 Example 2. One–Day Course Methodology of Reliability Prediction 218

6.1.3 Example 3. One Two Days Course (or tutorial) Accelerated  Reliability and Durability Testing Technology as Source of Obtaining Information for Successful Reliability Prediction 219

6.1.4 Example 4. One Two Days Seminar Foundation for Designing Successful Accelerated Testing 219

6.2 Illustrations for these and Other Programs in Reliability Prediction and Testing 220

6.2.1 Examples: Text for the Slides 220

6.2.2 Examples of Figures 228

Index 243

Lev M. Klyatis, Hab. Dr–Ing., ScD, PhD, is a Senior Advisor at SoHaR, Inc.and the author of Accelerated Reliability and Durability Testing Technology. His vast experience and innovations enabled him to create and implement a new direction for the solution of reliability and other components of performance problems. He holds over thirty patents worldwide, and is the author of hundreds of publications.

Edward Anderson is a Professional Engineer active in the Engineering profession in SAE International, the Sperry Board of Award, and the SAE G–15 Airport Ice and Snow Control Equipment Committee.

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.



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