Practical Reliability Engineering - Andre V. Kleyner

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Résumé :

Preface xxi

Acknowledgments xxiii

Abbreviations and Acronyms Used in this Book xxv

1 Introduction to Reliability Engineering 1

1.1 What is Reliability Engineering? 1

1.2 Why Teach Reliability Engineering? 2

1.3 Why Do Engineering Products Fail? 4

1.4 Probabilistic Reliability 6

1.5 Repairable and Non-repairable Items 7

1.6 The Pattern of Failures With Time (Bathtub Curve) 8

1.7 The Development of Reliability Engineering 9

1.8 Courses, Conferences, and Literature 11

1.9 Organizations Involved in Reliability Work 12

1.10 Reliability as an Effectiveness Parameter 12

1.11 Reliability Program Activities 12

1.12 Reliability Economics and Management 14

Questions 16

Selected Bibliography 17

Periodic Publications on Reliability 17

2 Reliability Mathematics 19

2.1 Introduction 19

2.2 Variation 19

2.3 Probability Concepts 21

2.4 Rules of Probability 22

2.5 Continuous Variation 27

2.6 Continuous Distribution Functions 32

2.7 Summary of Continuous Statistical Distributions 40

2.8 Variation in Engineering 40

2.9 Discrete Variation 46

2.10 Statistical Confidence 49

2.11 Statistical Hypothesis Testing 50

2.12 Non-parametric Inferential Methods 53

2.13 Goodness of Fit 55

2.14 Computer Software for Statistics 57

2.15 Practical Conclusions 57

Questions 58

Selected Bibliography 61

3 Life Data Analysis and Probability Plotting 63

3.1 Introduction 63

3.2 Life Data Classification 64

3.3 Ranking of Data 67

3.4 Weibull Distribution 70

3.5 Computerized Data Analysis and Probability Plotting 77

3.6 Confidence Bounds for Life Data Analysis 80

3.7 Choosing the Best Distribution and Assessing the Results 87

3.8 Conclusions 95

Questions 95

Selected Bibliography 100

4 Repairable Systems 101

4.1 Introduction 101

4.2 Renewal Process 102

4.3 Non-Parametric and Graphical Methods 112

4.4 Conclusions 115

Questions 115

Selected Bibliography 117

5 Monte Carlo Simulation 119

5.1 Introduction 119

5.2 Monte Carlo Simulation Basics 119

5.3 Additional Statistical Distributions 119

5.4 Sampling a Statistical Distribution 122

5.5 Running a Monte Carlo Simulation 125

5.6 Monte Carlo Method Summary 129

Questions 130

Selected Bibliography 132

6 Load-Strength Interference 133

6.1 Introduction 133

6.2 Load and Strength Models 133

6.3 Analysis of Load-Strength Interference 138

6.4 Multiple Load Applications 141

6.5 Dynamic Models 142

6.6 Practical Aspects 144

Questions 145

Selected Bibliography 147

7 Reliability Prediction and Modeling 149

7.1 Introduction 149

7.2 Fundamental Limitations of Reliability Prediction 150

7.3 Standards-Based Reliability Prediction 151

7.4 Other Methods for Reliability Predictions 157

7.5 Practical Aspects of Reliability Prediction 159

7.6 Systems Reliability Models 160

7.7 Availability of Repairable Systems 164

7.8 Modular Design 168

7.9 Block Diagram Analysis 169

7.10 Fault Tree Analysis (FTA) 173

7.12 Petri Nets 181

7.13 Reliability Apportionment 184

7.14 Conclusions 185

Questions 186

Selected Bibliography 192

8 Design for Reliability 195

8.1 Introduction 195

8.2 Design for Reliability Process 196

8.3 Identify 198

8.4 Design 203

8.5 Analyze 215