Reliability Engineering

Get a firm handle on the engineering reliability process with this insightful and complete resource

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The newly and thoroughly revised 3rd Edition of Reliability Engineering delivers a comprehensive and insightful analysis of this crucial field. Accomplished author, professor, and engineer, Elsayed. A. Elsayed includes new examples and end-of-chapter problems to illustrate concepts, new chapters on resilience and the physics of failure, revised chapters on reliability and hazard functions, and more case studies illustrating the approaches and methodologies described within.

The book combines analyses of system reliability estimation for time independent and time dependent models with the construction of the likelihood function and its use in estimating the parameters of failure time distribution. It concludes by addressing the physics of failures, mechanical reliability, and system resilience, along with an explanation of how to ensure reliability objectives by providing preventive and scheduled maintenance and warranty policies.

This new edition of Reliability Engineering covers a wide range of topics, including:

• Reliability and hazard functions, like the Weibull Model, the Exponential Model, the Gamma Model, and the Log-Logistic Model, among others

• System reliability evaluations, including parallel-series, series-parallel, and mixed parallel systems

• The concepts of time- and failure-dependent reliability within both repairable and non-repairable systems

• Parametric reliability models, including types of censoring, and the Exponential, Weibull, Lognormal, Gamma, Extreme Value, Half-Logistic, and Rayleigh Distributions

Perfect for first-year graduate students in industrial and systems engineering, Reliability Engineering, 3rd Edition also belongs on the bookshelves of practicing professionals in research laboratories and defense industries. The book offers a practical and approachable treatment of a complex area, combining the most crucial foundational knowledge with necessary and advanced topics.

Auteur

ELSAYED. A. ELSAYED, PHD is a Distinguished Professor in the Department of Industrial Engineering at Rutgers University. He is Director of the NSF/Industry/University Cooperative Research Center for Quality and Reliability Engineering, Rutgers-Arizona State University. His research interests include the areas of quality and reliability engineering, production planning, and control and manufacturing processes and engineering.

Contenu
Preface xi

Prelude xv

Chapter 1 Reliability and Hazard Functions 1

1.1 Introduction 1

1.2 Reliability Definition and Estimation 5

1.3 Hazard Functions 16

1.4 Multivariate Hazard Rate 57

1.5 Competing Risk Model and Mixture of Failure Rates 60

1.6 Discrete Probability Distributions 68

1.7 Mean Time to Failure 71

1.8 Mean Residual Life 74

1.9 Time of First Failure 76

Problems 79

References 91

Chapter 2 System Reliability Evaluation 95

2.1 Introduction 95

2.2 Reliability Block Diagrams 96

2.3 Series Systems 99

2.4 Parallel Systems 101

2.5 ParallelSeries, SeriesParallel, and Mixed-Parallel Systems 103

2.6 Consecutive-k-out-of-n:F System 113

2.7 Reliability of k-out-of-n Systems 121

2.8 Reliability of k-out-of-n Balanced Systems 123

2.9 Complex Reliability Systems 125

2.10 Special Networks 143

2.11 Multistate Models 144

2.12 Redundancy 150

2.13 Importance Measures of Components 154

2.14 Weighted Importance Measures of Components 165

Problems 167

References 182

Chapter 3 Time- and Failure-Dependent Reliability 185

3.1 Introduction 185

3.2 Nonrepairable Systems 185

3.3 Mean Time to Failure 194

3.4 Repairable Systems 204

3.5 Availability 215

3.6 Dependent Failures 223

3.7 Redundancy and Standby 228

Problems 238

References 247

Chapter 4 Estimation Methods of the Parameters 251

4.1 Introduction 251

4.2 Method of Moments 252

4.3 The Likelihood Function 260

4.4 Method of Least Squares 278

4.5 Bayesian Approach 284

4.6 Bootstrap Method 288

4.7 Generation of Failure Time Data 290

Problems 292

References 298

Chapter 5 Parametric Reliability Models 301

5.1 Introduction 301

5.2 Approach 1: Historical Data 302

5.3 Approach 2: Operational Life Testing 303

5.4 Approach 3: Burn-in Testing 303

5.5 Approach 4: Accelerated Life Testing 304

5.6 Types of Censoring 305

5.7 The Exponential Distribution 308

5.8 The Rayleigh Distribution 322

5.9 The Weibull Distribution 331

5.10 The Lognormal Distribution 343

5.11 The Gamma Distribution 350

5.12 The Extreme Value Distribution 357

5.13 The Half-Logistic Distribution 360

5.14 The Frechet Distribution 367

5.15 The BirnbaumSaunders Distribution 369

5.16 Linear Models 372

5.17 Multicensored Data 374

Problems 378

References 389

Chapter 6 Accelerated Life Testing 393

6.1 Introduction 393

6.2 Types of Reliability Testing 394

6.3 Accelerated Life Testing 403

6.4 ALT Models 406

6.5 Statistics-Based Models: Nonparametric 420

6.6 Physics-Statistics-Based Models 437

6.7 Physics-Experimental-Based Models 446

6.8 Degradation Models 449

6.9 Statistical Degradation Models 453

6.10 Accelerated Life Testing Plans 459

Problems 463

References 476

Chapter 7 Physics of Failures 481

7.1 Introduction 481

7.2 Fault Tree Analysis 481

7.3 Failure Modes and Effects Analysis 488

7.4 StressStrength Relationship 490

7.5 PoF: Failure Time Models 492

7.6 PoF: Degradation Models 512

Problems 519 References 524</p&gt...