実践的信頼性工学(テキスト・第6版)<br>Practical Reliability Engineering (6TH)

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実践的信頼性工学(テキスト・第6版)
Practical Reliability Engineering (6TH)

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  • 製本 Hardcover:ハードカバー版/ページ数 608 p.
  • 言語 ENG
  • 商品コード 9781394199969
  • DDC分類 620.00452

Full Description

A key reference for reliability professionals worldwide and widely adopted as a textbook by universities across many countries. This material also aligns with the Certified Reliability Engineer (CRE) curriculum set by the American Society for Quality (ASQ), making it a valuable resource for those preparing for the CRE certification.

With a strong focus on practical engineering applications, the Sixth Edition of Practical Reliability Engineering continues to offer a balanced blend of reliability theory and real-world applications. This edition has been comprehensively updated to reflect the latest advancements in industry practices and state-of-the-art reliability engineering. Each chapter includes practical examples, and course instructors have access to a Solutions Manual and PowerPoint slides for training support available from the author at kleyner.consulting@sbcglobal.net.

The sixth edition introduces several significant updates. Every chapter has been refreshed with new material, and two new chapters — Repairable Systems and Human Reliability — have been added. This edition also covers emerging topics in reliability engineering, such as prognostics and health management (PHM), Agile hardware development, the reliability challenges posed by the ongoing miniaturization of integrated circuits, and many more, ensuring that the content remains relevant to modern technological developments.

Written by two highly qualified reliability professionals, each with decades of experience, this book covers nearly every aspect of reliability science and practice, making it a comprehensive reference guide. Practical Reliability Engineering has, over the years, helped to train multiple generations of reliability engineers and continues to be an essential resource for both emerging professionals and seasoned experts alike.

Contents

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

7.11 State-Space Analysis (Markov Analysis) 176

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

8.6 Verify 216

8.7 Validate 216

8.8 Control 217

8.9 Assessing the DfR Capability of an Organization 220

8.10 Summary 221

Questions 221

Selected Bibliography 223

9 Reliability of Mechanical Components and Systems 225

9.1 Introduction 225

9.2 Mechanical Stress, Strength, and Fracture 225

9.3 Fatigue 229

9.4 Creep 235

9.5 Wear 236

9.6 Corrosion 237

9.7 Vibration and Shock 238

9.8 Temperature Effects 242

9.9 Materials 244

9.10 Components 245

9.11 Processes 246

Questions 247

Selected Bibliography 249

10 Electronic Systems Reliability 251

10.1 Introduction 251

10.2 Reliability of Electronic Components 252

10.3 Component Types and Failure Mechanisms 255

10.4 Power Electronics 278

10.5 Device Failure Modes and Their Distributions 279

10.6 Circuit and System Aspects 281

10.7 Design for Reliability in Electronic Systems 282

10.8 Parameter Variation and Tolerances 288

10.9 Design for Production, Test, and Maintenance 291

Questions 292

Selected Bibliography 294

11 Analysis of Variance (ANOVA) and Design of Experiments (DOE) 297

11.1 Introduction 297

11.2 Statistical Design of Experiments and Analysis of Variance 297

11.3 Randomizing the Data 308

11.4 Engineering Interpretation of Results 309

11.5 The Taguchi Method 310

11.6 Conclusions 313

Questions 315

Selected Bibliography 317

12 Reliability Testing 319

12.1 Introduction 319

12.2 Planning Reliability Testing 320

12.3 Test Environments 322

12.4 Testing for Reliability and Durability. Accelerated Testing 331

12.5 Test Planning 340

12.6 Failure Reporting, Analysis, and Corrective Action Systems (FRACAS) 341

Questions 343

Selected Bibliography 345

13 Analyzing Reliability Data and Accelerated Testing 347

13.1 Introduction 347

13.2 Pareto Analysis 347

13.3 Accelerated Test Data Analysis 349

13.4 Acceleration Factor 349

13.5 Acceleration Models 350

13.6 Field-Test Relationship 355

13.7 Statistical Analysis of Accelerated Test Data 356

13.8 Reliability Analysis of Repairable Systems 359

13.9 Cusum Charts 360

13.10 Exploratory Data Analysis and Proportional Hazards Modeling 362

13.11 Field and Warranty Data Analysis 364

Questions 368

Selected Bibliography 372

14 Reliability Demonstration and Growth 375

14.1 Introduction 375

14.2 Reliability Metrics 375

14.3 Test to Success (Success-Run Method) 376

14.4 Test to Failure Method 378

14.5 Extended Life Test 378

14.6 Continuous Testing 381

14.7 Degradation Analysis 382

14.8 Demonstrated Reliability vs. Population Reliability 385

14.9 Combining Results Using Bayesian Statistics 386

14.10 Non-parametric Methods 388

14.11 Reliability Demonstration Software 388

14.12 Practical Aspects of Reliability Demonstration 389

14.13 Standard Methods for Repairable Systems 390

14.14 Reliability Growth and Monitoring 395

14.15 Making Product Reliability Grow 402

Questions 404

Selected Bibliography 407

15 Reliability in Manufacture 409

15.1 Introduction 409

15.2 Control of Production Variability 409

15.3 Control Charts 411

15.4 Control of Human Variation 418

15.5 Acceptance Sampling 419

15.6 Improving the Process. Problem Solving 424

15.7 Stress Screening 428

15.8 Failure Reporting Analysis and Corrective Action System (FRACAS) in Production 431

15.9 Conclusions 432

Questions 432

Selected Bibliography 434

16 Human Reliability Analysis 435
J. Robert Taylor and Igor Kozine

16.1 Introduction 435

16.2 Human Performance and Error Taxonomy 436

16.3 Quantitative Methods of HEP Estimation 439

16.4 Identification of Human Error Possibilities: Action Error Analysis 445

16.5 Quantification of Human Error Scenarios Combined With A Technical Failure 452

16.6 Causal Analysis 452

16.7 Data for Human Error Probability Quantification 457

16.8 Models of System Reliability Accounting for Human Error 459

16.9 Conclusions 463

Questions 463

Selected Bibliography 465

17 Maintainability, Maintenance, and Availability 469

17.1 Introduction 469

17.2 Availability Measures 470

17.3 Maintenance Time Distributions 473

17.4 Preventive Maintenance Strategy 474

17.5 FMEA and FTA in Maintenance Planning 478

17.6 Maintenance Schedules 478

17.7 Technology Aspects 479

17.8 Calibration 481

17.9 Maintainability 482

17.10 Integrated Logistic Support 484

Questions 485

Selected Bibliography 486

18 Reliability Management 489

18.1 Corporate Policy for Reliability 489

18.2 Integrated Reliability Programs 489

18.3 Specifying Reliability 492

18.4 Reliability and Costs 494

18.5 Safety and Product Liability 499

18.6 Standards for Reliability, Quality, and Safety Programs 499

18.7 Managing Lower-Tier Suppliers 502

18.8 Reliability Manuals 503

18.9 The Project Reliability Plan 505

18.10 Use of External Services (Outsourcing) 506

18.11 Customer Management of Reliability 507

18.12 Product Sustainment Activities 509

18.13 Reliability Training and Expertise 511

18.14 Reliability Capability and Maturity of an Organization 512

18.15 Managing Production Quality 514

18.16 Choosing the Methods: Strategy and Tactics 516

18.17 AI in Practical Reliability Engineering 517

18.18 Conclusions: The Importance of Reliability Management 518

Questions 520

Selected Bibliography 521

Appendix 1 Software Reliability 523

Appendix 2 Kolmogorov-Smirnov Tables 549

Appendix 3 Chi-square Distribution and MTTF/MTBF Calculations 551

Appendix 4 Matrix Algebra Revision 553

Appendix 5 Reliability, Maintainability, and Safety Plan Example 555

Index 561

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