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Reliability Engineering, 1st edition

  • Singiresu S. Rao

Published by Pearson (March 3rd 2014) - Copyright © 2015

1st edition

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Reliability Engineering

ISBN-13: 9780136015727

Includes: Hardcover
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$133.32 $166.65

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  • Hardcover

    You'll get a bound printed text.

Overview

Reliability Engineering is intended for use as an introduction to reliability engineering, including the aspects analysis, design, testing, production and quality control of engineering components and systems. KEY TOPICS: Numerous analytical and numerical examples and problems are used to illustrate the principles and concepts. Expanded explanations of the fundamental concepts are given throughout the book, with emphasis on the physical significance of the ideas. The mathematical background necessary in the area of probability and statistics is covered briefly to make the presentation complete and self-contained. Solving probability and reliability problems using MATLAB and Excel is also presented. MARKET: This text is ideal for engineering professionals and students seeking a comprehensive introduction to reliability engineering.

 


Table of contents

Chapter 1 Introduction 1

What You Will Learn 1

1.1 Uncertainty in Engineering 1

1.2 Definition of Reliability 2

1.3 Importance of Reliability 3

1.4 Pattern of Failures 4

1.4.1 Component Failures 4

1.4.2 Mechanical and Structural Failures 11

1.5 Factor of Safety and Reliability 15

1.6 Reliability Analysis Procedure 18

1.7 Reliability Management 18

1.8 History of Reliability Engineering 19

1.9 Some Examples of System Failures 21

1.9.1 Collapse of Tacoma Narrows Bridge in 1940 21

1.9.2 Crash of El Al Boeing 747-200 in 1992 22

1.9.3 Disaster of Space Shuttle Challenger in 1986 22

1.9.4 Chernobyl Nuclear Power Plant Accident in 1986 24

1.9.5 Mississippi River Bridge 9340 Collapse in 2007 24

1.9.6 Fukushima Nuclear Accident in 2011 25

1.9.7 Explosion of the First Jet Airplane Comet 26

1.9.8 Breaking of the Tanker S. S. Schenectady 27

1.9.9 Crash of the Supersonic Aircraft Concorde 27

1.10 Numerical Solutions Using Matlab and Excel 29

1.11 Reliability Literature 32

References and Bibliography 32

Review Questions 44

Problems 45

 

Chapter 2 Basic Probability Theory 50

What You Will Learn 50

2.1 Introduction 50

2.2 Mutually Exclusive Events 51

2.3 Set Theory 51

2.4 Sample Points and Sample Space 52

2.5 Definition of Probability 55

2.5.1 Relative Frequency (Statistical) Definition 55

2.5.2 Axiomatic Definition 55

2.6 Laws of Probability 56

2.6.1 Union and Intersection of Two Events 56

2.6.2 Mutually Exclusive Events 56

2.6.3 Complementary Events 59

2.6.4 Conditional Probability 62

2.6.5 Statistically Independent Events 65

2.6.6 General Laws 66

2.7 Total Probability Theorem 68

2.8 Bayes’ Rule 73

References and Bibliography 75

Review Questions 76

Problems 79

 

Chapter 3 Random Variables and Probability Distributions 87

What You Will Learn 87

3.1 Introduction 87

3.2 Probability Mass Function for Discrete Random Variables 88

3.3 Cumulative Distribution Function for Discrete Random Variables 88

3.4 Probability Density Function for Continuous Random Variables 90

3.5 Mean, Mode, and Median 94

3.5.1 Mean 95

3.5.2 Mode 96

3.5.3 Median 96

3.6 Standard Deviation and Skewness Coefficient 98

3.6.1 Standard Deviation 99

3.6.2 Skewness Coefficient 103

3.7 Mome

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