John Wiley & Sons Reliability Engineering Cover Get a firm handle on the engineering reliability process with this insightful and complete resource .. Product #: 978-1-119-66592-2 Regular price: $142.06 $142.06 Auf Lager

Reliability Engineering

Elsayed, Elsayed A.

Wiley Series in Systems Engineering and Management

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3. Auflage Dezember 2020
928 Seiten, Hardcover
Wiley & Sons Ltd

ISBN: 978-1-119-66592-2
John Wiley & Sons

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

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.

CHAPTER 1 RELIABILITY AND HAZARD FUNCTIONS

1.1 Introduction

1.2 Reliability Definition and Estimation

1.3 Hazard Functions

1.4 Multi-Variate Hazard

1.5 Competing Risk Model and Mixture of Failure Rates

1.6 Discrete Probability Distributions

1.7 Mean Time to Failure

1.8 Mean Residual Life (MRL)

1.9 Time of First Failure

Problems

References

CHAPTER 2 SYSTEM RELIABILITY EVALUATION

2.1 Introduction

2.2 Reliability Block Diagrams

2.3 Series Systems

2.4 Parallel Systems

2.5 Parallel-Series, Series-Parallel, and Mixed-Parallel Systems

2.6 Consecutive k-out-of-n:F Systems

2.7 Reliability of k-out-of-n Systems

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

2.9 Complex Reliability Systems

2.10 Special Networks

2.11 Multistate Models

2.12 Redundancy

2.13 Importance Measures of Components

2.14 Weighted Importance of Components

Problems

References

CHAPTER 3 TIME - AND FAILURE-DEPENDENT RELIABILITY

3.1 Introduction

3.2 Non-Repairable Systems

3.3 Mean Time to Failure (MTTF)

3.4 Repairable Systems

3.5 Availability

3.6 Dependent Failures

3.7 Redundancy and Standby

Problems

References

CHAPTER 4 ESTIMATION METHODS OF THE PARAMETERS

4.1 Introduction

4.2 Method of Moments

4.3 The Likelihood Function

4.4 Method of Least Squares

4.5 Bayesian Approach

4.6 Boot-Strap Method

4.7 Generation of Failure Time Data

Problems

References

CHAPTER 5 PARAMETRIC RELIABILITY MODELS

5.1 Introduction

5.2 Approach 1: Historical Data

5.3 Approach 2: Operational Life Testing

5.4 Approach 3: Burn-In Testing

5.5 Approach 4: Accelerated Life Testing

5.6 Types of Censoring

5.7 The Exponential Distribution

5.8 The Rayleigh Distribution

5.9 The Weibull Distribution

5.10 The Lognormal Distribution

5.11 The Gamma Distribution

5.12 The Extreme Value Distribution

5.13 The Half-Logistic Distribution

5.14 The Frechet Distribution

5.15 The Birnbaum-Saunders Distribution

5.16 Linear Models

5.17 Multi-Censored Data

Problems

References

CHAPTER 6 ACCELERATED LIFE TESTING

6.1 Introduction

6.2 Types of Reliability Testing

6.3 Accelerated Life Testing

6.4 ALT Methods

6.5 Statistics-Based Models: Non-Parametric

6.6 Physics-Statistics-Based Models

6.7 Physics-Experimental-Based Models

6.8 Degradation Models

6.9 Statistical Degradation Models

6.10 Accelerated Life Testing Plans

Problems

References

Chapter 7 PHYSICS OF FAILURES

7.1 Introduction

7.2 Fault Tree Analysis

7.3 Failure Modes and Effects Analysis

7.4 Stress-Strength Relationship

7.5 PoF: Failure Time Models

7.6 PoF: Degradation Models

Problems

References

Chapter 8 SYSTEM RESILIENCE

8.1 Introduction

8.2 Resilience Overview

8.3 Multi Hazard

8.4 Resilience Modeling

8.5 Resilience Definitions and Attributes

8.6 Resilience Quantifications

8.7 Importance Measures

8.8 Cascading Failures

8.9 Cyber Networks

Problems

References

Chapter 9 RENEWAL PROCESSES AND EXPECTED NUMBER OF FAILURES

9.1 Introduction

9.2 Parametric Renewal Function Estimation

9.3 Non-Parametric Renewal Function Estimation

9.4 Alternating Renewal Process

9.5 Approximations of M(t)

9.6 Other Types of Renewal Processes

9.7 The Variance of the Number of Renewals

9.8 Confidence Intervals for the Renewal Function

9.9 Remaining Life at Time t

9.10 Poisson Processes

9.11 Laplace Transform and Random Variables

Problems

References

Chapter 10 MAINTENANCE AND INSPECTION

10.1 Introduction

10.2 Preventive Maintenance and Replacement Models: Cost

Minimization

10.3 Preventive Maintenance and Replacement Models: Downtime

Minimization

10.4 Minimal Repair Models

10.5 Optimum Replacement Intervals for Systems Subject to Shocks

10.6 Preventive Maintenance and Number of Spares

10.7 Group Maintenance

10.8 Periodic Inspection

10.9 Condition Based Maintenance

10.10 On-Line Surveillance and Monitoring

Problems

References

Chapter 11 WARRANTY MODELS

11.1 Introduction

11.2 Warranty Models for Non-Repairable Products

11.3 Warranty Models for Repairable Products

11.4 Two-Dimensional Warranty

11.5 Warranty Claims

Problems

References

Chapter 12 CASE STUDIES

Case 1: A Crane Spreader Subsystem

Case 2: Design of a Production Line

Case 3: An Explosive Detection System

Case 4: Reliability of Furnace Tubes

Case 5: Reliability of Smart Cards

Case 6: Life Distribution of Survivors of Qualification and Certification

Case 7: Reliability Modeling of Telecommunication Networks for the Air Traffic Control Center

Case 8: System Design Using Reliability Objectives

Case 9: Reliability Modeling of Hydraulic Fracture Pumps

Case 10: Availability of Medical Information Technology System

Case 11: Producer and Consumer Risk in System of Systems

References

APPENDICES

APPENDIX A GAMMA TABLE

APPENDIX B COMPUTER PROGRAM TO CALCULATE THE RELIABILITY OF A CONSECUTIVE-K-OUT-OF-N:F SYSTEM

APPENDIX C OPTIMUM ARRANGEMENT OF COMPONENTS IN CONSECUTIVE-2-OUT-OF-N:F SYSTEMS

APPENDIC D COMPUTER PROGRAM FOR SOLVING THE TIME-DEPENDENT EQUATIONS

APPENDIX E THE NEWTON-RAPHSON METHOD

APPENDIX F COEFFICIENTS OF FOR

APPENDIX G VARIANCE OF 's IN TERMS OF AND

APPENDIX I COEFFICIENTS AND OF THE BEST ESTIMATES OF THE MEAN ( ) AND STANDARD DEVIATION ( ) IN CENSORED SAMPLES UP TO n= 20 FROM A NORMAL POPULATION

APPENDIX J BAKER'S ALGORITHM

APPENDIX K STANDARD NORMAL DISTRIBUTION

APPENDIX L CRITICAL VALUES OF

APPENDIX M SOLUTIONS OF SELECTED PROBLEMS

AUTHOR INDEX

SUBJECT INDEX
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.