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Cover image for Reliability engineering
Title:
Reliability engineering
Personal Author:
Edition:
2nd ed.
Publication Information:
Hoboken, N.J. : J. Wiley, 2012.
Physical Description:
xvii, 772 p. : ill. ; 24 cm.
ISBN:
9781118137192

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30000010306662 TA169 E52 2012 Open Access Book Book
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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 Studies

A 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

Prefacep. xi
Preludep. xiv
Chapter 1 Reliability and Hazard Functionsp. 1
1.1 Introductionp. 1
1.2 Reliability Definition and Estimationp. 3
1.3 Hazard Functionsp. 15
1.4 Multivariate Hazard Ratep. 55
1.5 Competing Risk Model and Mixture of Failure Ratesp. 59
1.6 Discrete Probability Distributionsp. 64
1.7 Mean Time to Failurep. 67
1.8 Mean Residual Life (MRL)p. 70
1.9 Time of First Failure 71 Problemsp. 73
Referencesp. 85
Chapter 2 System Reliability Evaluationp. 87
2.1 Introductionp. 87
2.2 Reliability Block Diagramsp. 87
2.3 Series Systemsp. 91
2.4 Parallel Systemsp. 93
2.5 Parallel-Series, Series-Parallel, and Mixed-Parallel Systemsp. 95
2.6 Consecutive-k-out-of-n: F Systemp. 104
2.7 Reliability of k-out-of-n Systemsp. 113
2.8 Reliability of k-out-of-n Balanced Systemsp. 115
2.9 Complex Reliability Systemsp. 117
2.10 Special Networksp. 131
2.11 Multistate Modelsp. 132
2.12 Redundancyp. 138
2.13 Importance Measures of Componentsp. 142
Problemsp. 154
Referencesp. 167
Chapter 3 Time-And Failure-Dependent Reliabilityp. 170
3.1 Introductionp. 170
3.2 Nonrepairable Systemsp. 170
3.3 Mean Time to FaUure (MTTF)p. 178
3.4 Repairable Systemsp. 187
3.5 Availabilityp. 198
3.6 Dependent Failuresp. 207
3.7 Redundancy and Standbyp. 212
Problemsp. 222
Referencesp. 231
Chapter 4 Estimation Methods of the Parameters of Failure-Time Distributionsp. 233
4.1 Introductionp. 233
4.2 Method of Momentsp. 234
4.3 The Likelihood Functionp. 241
4.4 Method of Least Squaresp. 256
4.5 Bayesian Approachp. 261
4.6 Generation of Failure-Time Datap. 265
Problemsp. 267
Referencesp. 272
Chapter 5 Parametric Reliability Modelsp. 273
5.1 Introductionp. 273
5.2 Approach 1: Historical Datap. 273
5.3 Approach 2: Operational Life Testingp. 274
5.4 Approach 3: Burn-In Testingp. 275
5.5 Approach 4: Accelerated Life Testingp. 275
5.6 Types of Censoringp. 277
5.7 The Exponential Distributionp. 279
5.8 The Rayleigh Distributionp. 294
5.9 The Weibull Distributionp. 302
5.10 Lognormal Distributionp. 314
5.11 The Gamma Distributionp. 321
5.12 The Extreme Value Distributionp. 329
5.13 The Half-Logistic Distributionp. 331
5.14 Frechet Distributionp. 338
5.15 Birnbaum-Saunders Distributionp. 341
5.16 Linear Modelsp. 344
5.17 Multicensored Datap. 346
Problemsp. 351
Referencesp. 361
Chapter 6 Models for Accelerated Ufe Testingp. 364
6.1 Introductionp. 364
6.2 Types of Reliability Testingp. 365
6.3 Accelerated Life Testingp. 368
6.4 ALT Modelsp. 372
6.5 Statistics-Based Models: Nonparametricp. 386
6.6 Physics-Statistics-Based Modelsp. 404
6.7 Physics-Experimental-Based Modelsp. 412
6.8 Degradation Modelsp. 415
6.9 Statistical Degradation Modelsp. 419
6.10 Accelerated Life Testing Plansp. 421
Problemsp. 425
Referencesp. 436
Chapter 7 Renewal Processes and Expected Number of Failuresp. 440
7.1 Introductionp. 440
7.2 Parametric Renewal Function Estimationp. 441
7.3 Nonparametric Renewal Function Estimationp. 455
7.4 Alternating Renewal Processp. 465
7.5 Approximations of M(t)p. 468
7.6 Other Types of Renewal Processesp. 469
7.7 The Variance of Number of Renewalsp. 471
7.8 Confidence Intervals for the Renewal Functionp. 477
7.9 Remaining Life at Time Tp. 479
7.10 Poisson Processesp. 481
7.11 Laplace Transform and Random Variablesp. 485
Problemsp. 487
Referencesp. 494
Chapter 8 Preventive Maintenance and Inspectionp. 496
8.1 Introductionp. 496
8.2 Preventive Maintenance and Replacement Models: Cost Minimizationp. 497
8.3 Preventive Maintenance and Replacement Models: Downtime Minimizationp. 506
8.4 Minimal Repair Modelsp. 509
8.5 Optimum Replacement Intervals for Systems Subject to Shocksp. 513
8.6 Preventive Maintenance and Number of Sparesp. 517
8.7 Group Maintenancep. 524
8.8 Periodic Inspectionp. 527
8.9 Condition-Based Maintenancep. 535
8.10 Online Surveillance and Monitoringp. 537
Problemsp. 542
Referencesp. 548
Chapter 9 Warranty Modelsp. 551
9.1 Introductionp. 551
9.2 Warranty Models for Nonrepairable Productsp. 553
9.3 Warranty Models for Repairable Productsp. 574
9.4 Two-Dimensional Warrantyp. 588
9.5 Warranty Claimsp. 590
Problemsp. 597
Referencesp. 601
Chapter 10 Case Studiesp. 603
10.1 Case 1: A Crane Spreader Subsystemp. 603
10.2 Case 2: Design of a Production Linep. 609
10.3 Case 3: An Explosive Detection Systemp. 617
10.4 Case 4: Reliability of Furnace Tubesp. 623
10.5 Case 5: Reliability of Smart Cardsp. 629
10.6 Case 6: Life Distribution of Survivors of Qualification and Certificationp. 632
10.7 Case 7: Reliability Modeling of Telecommunication Networks for the Air Traffic Control Systemp. 639
10.8 Case 8: System Design Using Reliability Objectivesp. 648
10.9 Case 9: Reliability Modeling of Hydraulic Fracture Pumpsp. 658
Referencesp. 663
Appendices
Appendix A Gamma Tablep. 667
Appendlx B Computer Program to Calculate the Reliability of a Consecuttve-2-Out-Of-N:F Systemp. 674
Appendix C Optimum Arrangement of Components in Consecuttve-2-Out-Of-N:F Systemsp. 676
Appendix D Computer Program for Solving the Time-Dependent Equations Using Runge-Kutta's Methodp. 682
Appendix E The Newton-Raphson Methodp. 684
Appendix F Coefficients of b i 's For i = 1, ..., np. 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 Methodp. 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 Populationp. 724
Appendlx J Baker's Algorithmp. 737
Appendlx K Standard Normal Distributionp. 741
Appendix L Critical Values of X 2p. 747
Appendix M Solutions of Selected Problemsp. 750
Author Indexp. 759
Subject Indexp. 764
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