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Summary
Summary
A newly revised and updated edition that details both thetheoretical foundations and practical applications of reliabilityengineering
Reliability is one of the most important quality characteristicsof components, products, and large and complex systems?but ittakes a significant amount of time and resources to bringreliability to fruition. Thoroughly classroom- and industry-tested,this book helps ensure that engineers see reliability success withevery product they design, test, and manufacture.
Divided into three parts, Reliability Engineering, SecondEdition handily describes the theories and their practical useswhile presenting readers with real-world examples and problems tosolve. Part I focuses on system reliability estimation for timeindependent and failure dependent models, helping engineers createa reliable design. Part II aids the reader in assembling necessarycomponents and configuring them to achieve desired reliabilityobjectives, conducting reliability tests on components, and usingfield data from similar components. Part III follows what happensonce a product is produced and sold, how the manufacturer mustensure its reliability objectives by providing preventive andscheduled maintenance and warranty policies.
This Second Edition includes in-depth and enhancedchapter coverage of:
Reliability and Hazard Functions System Reliability Evaluation Time- and Failure-Dependent Reliability Estimation Methods of the Parameters of Failure-TimeDistributions Parametric Reliability Models Models for Accelerated Life Testing Renewal Processes and Expected Number of Failures Preventive Maintenance and Inspection Warranty Models Case StudiesA comprehensive reference for practitioners and professionals inquality and reliability engineering, Reliability Engineering can also be used for senior undergraduate or graduate courses inindustrial and systems, mechanical, and electrical engineeringprograms.
Author Notes
Elsayed A. Elsayed, PhD, is a professor in the Department of Industrial and Systems Engineering, Rutgers University, and the Director of the NSF/Industry/University Co-operative Research Center for Quality and Reliability Engineering. He is the recipient of the Institute of Industrial Engineers (IIE) Fellow Award, an ASME Fellow, the Senior Fulbright Award, and the 2011 Thomas Alva Edison Patent Award. He is a coauthor of Quality Engineering in Production Systems and the author of Reliability Engineering, which received the 1990 and 1997 IIE/Joint Publishers Book-of-the-Year Award respectively.
Table of Contents
Preface | p. xi |
Prelude | p. xiv |
Chapter 1 Reliability and Hazard Functions | p. 1 |
1.1 Introduction | p. 1 |
1.2 Reliability Definition and Estimation | p. 3 |
1.3 Hazard Functions | p. 15 |
1.4 Multivariate Hazard Rate | p. 55 |
1.5 Competing Risk Model and Mixture of Failure Rates | p. 59 |
1.6 Discrete Probability Distributions | p. 64 |
1.7 Mean Time to Failure | p. 67 |
1.8 Mean Residual Life (MRL) | p. 70 |
1.9 Time of First Failure 71 Problems | p. 73 |
References | p. 85 |
Chapter 2 System Reliability Evaluation | p. 87 |
2.1 Introduction | p. 87 |
2.2 Reliability Block Diagrams | p. 87 |
2.3 Series Systems | p. 91 |
2.4 Parallel Systems | p. 93 |
2.5 Parallel-Series, Series-Parallel, and Mixed-Parallel Systems | p. 95 |
2.6 Consecutive-k-out-of-n: F System | p. 104 |
2.7 Reliability of k-out-of-n Systems | p. 113 |
2.8 Reliability of k-out-of-n Balanced Systems | p. 115 |
2.9 Complex Reliability Systems | p. 117 |
2.10 Special Networks | p. 131 |
2.11 Multistate Models | p. 132 |
2.12 Redundancy | p. 138 |
2.13 Importance Measures of Components | p. 142 |
Problems | p. 154 |
References | p. 167 |
Chapter 3 Time-And Failure-Dependent Reliability | p. 170 |
3.1 Introduction | p. 170 |
3.2 Nonrepairable Systems | p. 170 |
3.3 Mean Time to FaUure (MTTF) | p. 178 |
3.4 Repairable Systems | p. 187 |
3.5 Availability | p. 198 |
3.6 Dependent Failures | p. 207 |
3.7 Redundancy and Standby | p. 212 |
Problems | p. 222 |
References | p. 231 |
Chapter 4 Estimation Methods of the Parameters of Failure-Time Distributions | p. 233 |
4.1 Introduction | p. 233 |
4.2 Method of Moments | p. 234 |
4.3 The Likelihood Function | p. 241 |
4.4 Method of Least Squares | p. 256 |
4.5 Bayesian Approach | p. 261 |
4.6 Generation of Failure-Time Data | p. 265 |
Problems | p. 267 |
References | p. 272 |
Chapter 5 Parametric Reliability Models | p. 273 |
5.1 Introduction | p. 273 |
5.2 Approach 1: Historical Data | p. 273 |
5.3 Approach 2: Operational Life Testing | p. 274 |
5.4 Approach 3: Burn-In Testing | p. 275 |
5.5 Approach 4: Accelerated Life Testing | p. 275 |
5.6 Types of Censoring | p. 277 |
5.7 The Exponential Distribution | p. 279 |
5.8 The Rayleigh Distribution | p. 294 |
5.9 The Weibull Distribution | p. 302 |
5.10 Lognormal Distribution | p. 314 |
5.11 The Gamma Distribution | p. 321 |
5.12 The Extreme Value Distribution | p. 329 |
5.13 The Half-Logistic Distribution | p. 331 |
5.14 Frechet Distribution | p. 338 |
5.15 Birnbaum-Saunders Distribution | p. 341 |
5.16 Linear Models | p. 344 |
5.17 Multicensored Data | p. 346 |
Problems | p. 351 |
References | p. 361 |
Chapter 6 Models for Accelerated Ufe Testing | p. 364 |
6.1 Introduction | p. 364 |
6.2 Types of Reliability Testing | p. 365 |
6.3 Accelerated Life Testing | p. 368 |
6.4 ALT Models | p. 372 |
6.5 Statistics-Based Models: Nonparametric | p. 386 |
6.6 Physics-Statistics-Based Models | p. 404 |
6.7 Physics-Experimental-Based Models | p. 412 |
6.8 Degradation Models | p. 415 |
6.9 Statistical Degradation Models | p. 419 |
6.10 Accelerated Life Testing Plans | p. 421 |
Problems | p. 425 |
References | p. 436 |
Chapter 7 Renewal Processes and Expected Number of Failures | p. 440 |
7.1 Introduction | p. 440 |
7.2 Parametric Renewal Function Estimation | p. 441 |
7.3 Nonparametric Renewal Function Estimation | p. 455 |
7.4 Alternating Renewal Process | p. 465 |
7.5 Approximations of M(t) | p. 468 |
7.6 Other Types of Renewal Processes | p. 469 |
7.7 The Variance of Number of Renewals | p. 471 |
7.8 Confidence Intervals for the Renewal Function | p. 477 |
7.9 Remaining Life at Time T | p. 479 |
7.10 Poisson Processes | p. 481 |
7.11 Laplace Transform and Random Variables | p. 485 |
Problems | p. 487 |
References | p. 494 |
Chapter 8 Preventive Maintenance and Inspection | p. 496 |
8.1 Introduction | p. 496 |
8.2 Preventive Maintenance and Replacement Models: Cost Minimization | p. 497 |
8.3 Preventive Maintenance and Replacement Models: Downtime Minimization | p. 506 |
8.4 Minimal Repair Models | p. 509 |
8.5 Optimum Replacement Intervals for Systems Subject to Shocks | p. 513 |
8.6 Preventive Maintenance and Number of Spares | p. 517 |
8.7 Group Maintenance | p. 524 |
8.8 Periodic Inspection | p. 527 |
8.9 Condition-Based Maintenance | p. 535 |
8.10 Online Surveillance and Monitoring | p. 537 |
Problems | p. 542 |
References | p. 548 |
Chapter 9 Warranty Models | p. 551 |
9.1 Introduction | p. 551 |
9.2 Warranty Models for Nonrepairable Products | p. 553 |
9.3 Warranty Models for Repairable Products | p. 574 |
9.4 Two-Dimensional Warranty | p. 588 |
9.5 Warranty Claims | p. 590 |
Problems | p. 597 |
References | p. 601 |
Chapter 10 Case Studies | p. 603 |
10.1 Case 1: A Crane Spreader Subsystem | p. 603 |
10.2 Case 2: Design of a Production Line | p. 609 |
10.3 Case 3: An Explosive Detection System | p. 617 |
10.4 Case 4: Reliability of Furnace Tubes | p. 623 |
10.5 Case 5: Reliability of Smart Cards | p. 629 |
10.6 Case 6: Life Distribution of Survivors of Qualification and Certification | p. 632 |
10.7 Case 7: Reliability Modeling of Telecommunication Networks for the Air Traffic Control System | p. 639 |
10.8 Case 8: System Design Using Reliability Objectives | p. 648 |
10.9 Case 9: Reliability Modeling of Hydraulic Fracture Pumps | p. 658 |
References | p. 663 |
Appendices | |
Appendix A Gamma Table | p. 667 |
Appendlx B Computer Program to Calculate the Reliability of a Consecuttve-2-Out-Of-N:F System | p. 674 |
Appendix C Optimum Arrangement of Components in Consecuttve-2-Out-Of-N:F Systems | p. 676 |
Appendix D Computer Program for Solving the Time-Dependent Equations Using Runge-Kutta's Method | p. 682 |
Appendix E The Newton-Raphson Method | p. 684 |
Appendix F Coefficients of b i 's For i = 1, ..., n | p. 689 |
Appendix G Variance of ¿ 2 * s in Terms of ¿ 2 2 /n and K 3 /K 2 * | p. 716 |
Appendlx H Computer Listing of the Newton-Raphson Method | p. 722 |
Appendix I Coefficients (a i and b i of the Best Estimates of the Mean (¿) And Standard Deviation (¿) in Censored Samples Up to n = 20 From a Normal Population | p. 724 |
Appendlx J Baker's Algorithm | p. 737 |
Appendlx K Standard Normal Distribution | p. 741 |
Appendix L Critical Values of X 2 | p. 747 |
Appendix M Solutions of Selected Problems | p. 750 |
Author Index | p. 759 |
Subject Index | p. 764 |