With emphasis on practical aspects of engineering, this bestseller has gained worldwide recognition through progressive editions as the essential reliability textbook. This fifth edition retains the unique balanced mixture of reliability theory and applications, thoroughly updated with the latest industry best practices. Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer curriculum of the American Society for Quality (ASQ). Each chapter is supported by practice questions, and a solutions manual is available to course tutors via the companion website.

Enhanced coverage of mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling, design for reliability and safety as well as management and economics of reliability programmes ensures continued relevance to all quality assurance and reliability courses.

Notable additions include:

• New chapters on applications of Monte Carlo simulation methods and reliability demonstration methods.
• Software applications of statistical methods, including probability plotting and a wider use of common software tools.
• More detailed descriptions of reliability prediction methods.
• Comprehensive treatment of accelerated test data analysis and warranty data analysis.
• Revised and expanded end-of-chapter tutorial sections to advance students' practical knowledge.
  The fifth edition will appeal to a wide range of readers from college students to seasoned engineering professionals involved in the design, development, manufacture and maintenance of reliable engineering products and systems.

www.wiley.com/go/oconnor_reliability5

Autorentext

Patrick O'Connor, Stevenage, UK
Since 1995 Patrick O'Connor has worked as an independent consultant on engineering management, reliability, quality and safety. He received his engineering training at the Royal Air Force Technical College and served for 16 years in the RAF Engineer Branch, including tours on aircraft maintenance and in the Reliability and Maintainability office of the Ministry of Defence (Air). He was appointed Reliability Manager of British Aerospace Dynamics in 1980 and joined British Rail Research as Reliability Manager in 1993. Mr. O'Connor is the author of Practical Reliability Engineering, published by John Wiley (4th. edition 2002). He is also the author of the chapter on reliability and quality engineering in the Academic Press Encyclopaedia of Physical Science and Technology, and until 1999 was the UK editor of the Wiley journal Quality and Reliability Engineering International. He has written many papers and articles on quality and reliability engineering and management, and he lectures at universities and other venues on these subjects. He is editor of the Wiley book series in quality and reliability engineering.

Andre Kleyner, Delphi Electronics & Safety, USA
Andre Kleyner has over 25 years of engineering, research, consulting, and managerial experience specializing in reliability of electronic and mechanical systems designed to operate in severe environments. He received the doctorate in Mechanical Engineering from University of Maryland, and Master of Business Administration from Ball State University. Dr. Kleyner is a Global Reliability Engineering Leader with Delphi Electronics & Safety, and an adjunct professor at Purdue University. Andre developed and taught many training courses for reliability, quality, and design professionals. He also holds several US and foreign patents and authored professional publications on reliability, quality, and other engineering topics. Andre has is a senior member of American Society for Quality, Certified Reliability and Quality Engineer and Six-sigma black belt. He holds several US and foreign patents and hs authored many papers on the topics of warranty, lifecycle cost, reliability, and statistics. His areas of expertise are: Design for Reliability (DfR); Reliability of Electronic and Mechanical Systems; Product Test and Validation Planning; Physics of Failure; Warranty Management; Reliability Prediction and Warranty Forecasting; Weibull Analysis; Monte Carlo Simulation; Systems Engineering; Dependability analysis, and testing of energy systems for power electronics and electric/hybrid vehicles, and Training and consulting in these areas.

Inhalt

Preface to the First Edition xv

Preface to the Second Edition xvii

Preface to the Third Edition xix

Preface to the Third Edition Revised xxi

Preface to the Fourth Edition xxiii

Preface to the Fifth Edition xxv

Acknowledgements xxvii

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 (Non-Repairable Items) 8

1.7 The Pattern of Failures with Time (Repairable Items) 9

1.8 The Development of Reliability Engineering 9

1.9 Courses, Conferences and Literature 11

1.10 Organizations Involved in Reliability Work 12

1.11 Reliability as an Effectiveness Parameter 12

1.12 Reliability Programme Activities 13

1.13 Reliability Economics and Management 14

Questions 17

Bibliography 18

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 28

2.6 Continuous Distribution Functions 33

2.7 Summary of Continuous Statistical Distributions 41

2.8 Variation in Engineering 41

2.9 Conclusions 47

2.10 Discrete Variation 48

2.11 Statistical Confidence 51

2.12 Statistical Hypothesis Testing 53

2.13 Non-Parametric Inferential Methods 57

2.14 Goodness of Fit 59

2.15 Series of Events (Point Processes) 61

2.16 Computer Software for Statistics 64

2.17 Practical Conclusions 64

Questions 66

Bibliography 68

3 Life Data Analysis and Probability Plotting 70

3.1 Introduction 70

3.2 Life Data Classification 71

3.3 Ranking of Data 75

3.4 Weibull Distribution 78

3.5 Computerized Data Analysis and Probability Plotting 85

3.6 Confidence Bounds for Life Data Analysis 89

3.7 Choosing the Best Distribution and Assessing the Results 95

3.8 Conclusions 102

Questions 103

Bibliography 107

4 Monte Carlo Simulation 108

4.1 Introduction 108

4.2 Monte Carlo Simulation Basics 108

4.3 Additional Statistical Distributions 108

4.4 Sampling a Statistical Distribution 110

4.5 Basic Steps for Performing a Monte Carlo Simulation 113

4.6 Monte Carlo Method Summary 115

Questions 118

Bibliography 119

5 LoadStrength Interference 120

5.1 Introduction 120

5.2 Distributed Load and Strength 120

5.3 Analysis of LoadStrength Interference 123

5.4 Effect of Safety Margin and Loading Roughness on Reliability (Multiple Load Applications) 124

5.5 Practical Aspects 131

Questions 132

Bibliography 133

6 Reliability Prediction and Modelling 134

6.1 Introduction 134

6.2 Fundamental Limitations of Reliability Prediction 135

6.3 Standards Based Reliability Prediction 136

6.4 Other Methods for Reliability Predictions 141

6.5 Practical Aspects 143

6.6 Systems Reliability Models 143

6.7 Availability of Repairable Systems 147

6.8 Modular Design 151

6.9 Block Diagram Analysis 152

6.10 Fault Tree Analysis (FTA) 157

6.11 State-Space Analysis (Markov Analysis) 158

6.12 Petri Nets 165

6.13 Reliability Apportionment 169

6.14 Conclusions 170

Questions 170

Bibliography 175

7 Design for Reliability 177

7.1 Introduction 177

7.2 Design for Reliability Process 178 &lt...