Reliability Engineering and Risk Analysis: A Practical Guide 2nd Edition

Reliability Engineering and Risk Analysis: A Practical Guide, Second Edition has already introduced a generation of engineers to the practical methods and techniques used in reliability and risk studies applicable to numerous disciplines. Written for both practicing professionals and engineering students, this comprehensive overview of reliability and risk analysis techniques has been fully updated, expanded, and revised to meet current needs. It concentrates on reliability analysis of complex systems and their components and also presents basic risk analysis techniques. Since reliability analysis is a multi-disciplinary subject, the scope of this book applies to most engineering disciplines, and its content is primarily based on the materials used in undergraduate and graduate-level courses at the University of Maryland. This book has greatly benefited from its authors' industrial experience. It balances a mixture of basic theory and applications and presents a large number of examples to illustrate various technical subjects. A proven educational tool, this bestselling classic will serve anyone working on real-life failure analysis and prediction problems.

Table of Contents

Chapter 1 Reliability Engineering in Perspective

1.1 Why Study Reliability?

1.2 Failure Models

1.3 Failure Mechanisms

1.4 Performance Measures

1.5 Formal Definition of Reliability

1.6 Definition of Availability

1.7 Definition of Risk

Chapter 2 Basic Reliability Mathematics: Review of Probability and Statistics

2.1 Introduction

2.2 Elements of Probability

2.3 Probability Distributions

2.4 Basic Characteristics of Random Variables

2.5 Estimation and Hypothesis Testing

2.6 Frequency Tables and Histograms

2.7 Goodness-of-Fit Tests

2.8 Regression Analysis

Chapter 3 Elements of Component Reliability

3.1 Concept of Reliability

3.2 Common Distributions in Component Reliability

3.3 Component Reliability Model Selection

3.4 Maximum Likelihood Estimation of Reliability Distribution Parameters

3.5 Classical Nonparametric Distribution Estimation

3.6 Bayesian Estimation Procedures

3.7 Methods of Generic Failure Rate Determination

Chapter 4 System Reliability Analysis

4.1 Reliability Block Diagram Method

4.2 Fault Tree and Success Tree Methods

4.3 Event Tree Method

4.4 Master Logic Diagram

4.5 Failure Mode and Effect Analysis

Chapter 5 Reliability and Availability of Repairable Components and Systems

5.1 Repairable System Reliability

5.2 Availability of Repairable Systems

5.3 Use of Markov Processes for Determining System Availability

5.4 Use of System Analysis Techniques in the Availability Calculations of Complex Systems

Chapter 6 Selected Topics in Reliability Modeling

6.1 Probabilistic Physics-of-Failure Reliability Modeling

6.2 Software Reliability Analysis

6.3 Human Reliability

6.4 Measures of Importance

6.5 Reliability-Centered Maintenance

6.6 Reliability Growth

Chapter 7 Selected Topics in Reliability Data Analysis

7.1 Accelerated Life Testing

7.2 Analysis of Dependent Failures

7.3 Uncertainty Analysis

7.4 Use of Expert Opinion for Estimating Reliability Parameters

7.5 Probabilistic Failure Analysis

Chapter 8 Risk Analysis

8.1 Determination of Risk Values8.2 Formalization of Quantitative Risk Assessment

8.3 Probabilistic Risk Assessment

8.4 Compressed Natural Gas Powered Buses: A PRA Case Study

8.5 A Simple Fire Protection Risk Analysis

8.6 Precursor Analysis

Appendices

Index

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