Now revised and updated, this book lays out both the theoretical foundations and practical applications of reliability engineering, describing the theory followed by realworld examples, problems for readers to solve, and description of the theorys practical use. The book is accompanied by Reliability Analysis Software, which provides useful tools for reliability estimation, failure time distributions, and a wide range of accelerated life models. Examples and problems follow theoretical developments, ensuring this useful book as a comprehensive reference for practitioners, professionals, and students in the quality and reliability engineering area.
Recenzijas
The well written book may be used as a reference work for practitioners and as a textbook for courses in reliability engineering, where knowledge in probability calculus and statistics is presumed. (Zentralblatt MATH, 1 December 2012) I recommend this book for graduate courses, as it is clear and complete, and treats a vital 21st century problem. (Computing Reviews, 29 November 2012)
PREFACE xi
PRELUDE xiv
CHAPTER 1 RELIABILITY AND HAZARD FUNCTIONS 1 1.1 Introduction 1 1.2
Reliability Definition and Estimation 3 1.3 Hazard Functions 15 1.4
Multivariate Hazard Rate 55 1.5 Competing Risk Model and Mixture of Failure
Rates 59 1.6 Discrete Probability Distributions 64 1.7 Mean Time to Failure
67 1.8 Mean Residual Life (MRL) 70 1.9 Time of First Failure 71
CHAPTER 2 SYSTEM RELIABILITY EVALUATION 87 2.1 Introduction 87 2.2
Reliability Block Diagrams 87 2.3 Series Systems 91 2.4 Parallel Systems 93
2.5 ParallelSeries, SeriesParallel, and MixedParallel Systems 95 2.6
Consecutivekoutofn:F System 104 2.7 Reliability of koutofn Systems 113
2.8 Reliability of koutofn Balanced Systems 115 2.9 Complex Reliability
Systems 117 2.10 Special Networks 131 2.11 Multistate Models 132 2.12
Redundancy 138 2.13 Importance Measures of Components 142
CHAPTER 3 TIME AND FAILUREDEPENDENT RELIABILITY 170 3.1 Introduction 170
3.2 Nonrepairable Systems 170 3.3 Mean Time to Failure (MTTF) 178 3.4
Repairable Systems 187 3.5 Availability 198 3.6 Dependent Failures 207 3.7
Redundancy and Standby 212
CHAPTER 4 ESTIMATION METHODS OF THE PARAMETERS OF FAILURETIME DISTRIBUTIONS
233 4.1 Introduction 233 4.2 Method of Moments 234 4.3 The Likelihood
Function 241 4.4 Method of Least Squares 256 4.5 Bayesian Approach 261 4.6
Generation of FailureTime Data 265
CHAPTER 5 PARAMETRIC RELIABILITY MODELS 273 5.1 Introduction 273 5.2 Approach
1: Historical Data 273 5.3 Approach 2: Operational Life Testing 274 5.4
Approach 3: BurnIn Testing 275 5.5 Approach 4: Accelerated Life Testing 275
5.6 Types of Censoring 277 5.7 The Exponential Distribution 279 5.8 The
Rayleigh Distribution 294 5.9 The Weibull Distribution 302 5.10 Lognormal
Distribution 314 5.11 The Gamma Distribution 321 5.12 The Extreme Value
Distribution 329 5.13 The HalfLogistic Distribution 331 5.14 Frechet
Distribution 338 5.15 Birnbaum Saunders Distribution 341 5.16 Linear Models
344 5.17 Multicensored Data 346
CHAPTER 6 MODELS FOR ACCELERATED LIFE TESTING 364 6.1 Introduction 364 6.2
Types of Reliability Testing 365 6.3 Accelerated Life Testing 368 6.4 ALT
Models 372 6.5 StatisticsBased Models: Nonparametric 386 6.6
PhysicsStatisticsBased Models 404 6.7 PhysicsExperimentalBased Models 412
6.8 Degradation Models 415 6.9 Statistical Degradation Models 419 6.10
Accelerated Life Testing Plans 421
CHAPTER 7 RENEWAL PROCESSES AND EXPECTED NUMBER OF FAILURES 440 7.1
Introduction 440 7.2 Parametric Renewal Function Estimation 441 7.3
Nonparametric Renewal Function Estimation 455 7.4 Alternating Renewal Process
465 7.5 Approximations of M(t) 468 7.6 Other Types of Renewal Processes 469
7.7 The Variance of Number of Renewals 471 7.8 Confidence Intervals for the
Renewal Function 477 7.9 Remaining Life at Time T 479 7.10 Poisson Processes
481 7.11 Laplace Transform and Random Variables 485
CHAPTER 8 PREVENTIVE MAINTENANCE AND INSPECTION 496 8.1 Introduction 496 8.2
Preventive Maintenance and Replacement Models: Cost Minimization 497 8.3
Preventive Maintenance and Replacement Models: Downtime Minimization 506 8.4
Minimal Repair Models 509 8.5 Optimum Replacement Intervals for Systems
Subject to Shocks 513 8.6 Preventive Maintenance and Number of Spares 517 8.7
Group Maintenance 524 8.8 Periodic Inspection 527 8.9 ConditionBased
Maintenance 535 8.10 Online Surveillance and Monitoring 537
CHAPTER 9 WARRANTY MODELS 551 9.1 Introduction 551 9.2 Warranty Models for
Nonrepairable Products 553 9.3 Warranty Models for Repairable Products 574
9.4 TwoDimensional Warranty 588 9.5 Warranty Claims 590
CHAPTER 10 CASE STUDIES 603 10.1 Case 1: A Crane Spreader Subsystem 603 10.2
Case 2: Design of a Production Line 609 10.3 Case 3: An Explosive Detection
System 617 10.4 Case 4: Reliability of Furnace Tubes 623 10.5 Case 5:
Reliability of Smart Cards 629 10.6 Case 6: Life Distribution of Survivors of
Qualification and Certification 632 10.7 Case 7: Reliability Modeling of
Telecommunication Networks for the Air Traffic Control System 639 10.8 Case
8: System Design Using Reliability Objectives 648 10.9 Case 9: Reliability
Modeling of Hydraulic Fracture Pumps 658 References 663
APPENDICES
AUTHOR INDEX 759
SUBJECT INDEX 764
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 Cooperative 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 BookoftheYear Award respectively.
