Name: Applied Reliability Engineering Volume I, 5th Ed.
SKU: PUB-AREVI
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Product Description

Authors – Marvin Roush and Willie Webb

This book is organized to provide an introduction to reliability engineering, both for practicing engineers and for students. The emphasis throughout is on concepts and basic principles. It contains practical applications to guide the reader to appreciate the value of each topic presented. This book was not developed to be used as a handbook or reference book; such books commonly are made up of a number of self-contained modules that provide information about separate topics. Rather, this work is a carefully woven fabric of connected ideas that are progressively developed. Handbooks and other ‘how to’ books are meant to meet short term needs for carrying out a given process but do not lead to a full understanding of the subject as is the goal here. More advanced texts are cited for further reading on the mathematical and statistical aspect of reliability analysis and engineering.

The approach to engineering described here is one that has been evolving in many companies. They have moved away from an approach that only evaluated product designs through testing and data analysis to one that integrates all parts of the product design and development in a thoroughly integrated reliability program. The activities in such a program are not an end in themselves, but rather, are valuable when utilized to assist in making proper engineering and management decisions.

This book is used at the University of Maryland for a two-semester course for both upper-level undergraduate students and graduate students. By selecting the appropriate portions of the material, considerable flexibility is available for using this books as a reference for a one-semester course. The first part of the book focuses upon metrics of reliability and methods of achieving reliable components. The second half focuses upon system reliability, system analysis techniques and unique problems that arise from interactions between distinct parts of a system.

1 Introduction to Reliability Engineering	3
1.1 Relationship of Quality and Reliability	3
1.2 Reliability Engineering as a Technical Discipline	4
1.3 The Engineering World in which Reliability Engineers Work	4
1.4 Domain of Activity of Reliability Engineers	5
1.5 Risk Analysis as A Technical Discipline	7
1.6 Formal Definition of Reliability	8
1.7 Some Models of Failure	10
1.7.1 The Stress-Strength Model	11
1.7.2 The Damage – Endurance Model	11
1.7.3 The Challenge – Response Model	12
1.7.4 The Tolerance-Requirements Model	12
Exercises	13
2 Why and How Things Fail	15
2.1 Failure Causes and Mechanisms	15
2.1.1 Basic Physics of Failure Concepts	15
2.1.2 Failure of Material Objects	15
2.1.3 Abrasive Wear	17
2.1.4 Adhesive Wear	18
2.1.5 Surface Fatigue	19
2.1.6 Erosive Wear	21
2.1.7 Cavitation Pitting	22
2.1.8 Corrosion by Direct Chemical Attack	24
2.1.9 Preventing Corrosion Failures	24
2.1.10 Elastic Deformation of Materials	29
2.1.11 Poisson’s Ratio	31
2.1 12 Plastic Deformation	31
2.1.14 Toughness of Materials	34
2.2 Residual Stresses	39
2.2.1 Thermal Residual Stresses	42
2.2.2 Metallurgical Residual Stresses	47
2.2.3 Mechanical Residual Stresses	48
2.2.4 Chemical Effects on Residual Stresses	51
2.2.6 Summary of Residual Stresses	53
2.3 Preventing Mechanical Failures	53
2.3.1 Stress Concentrations	54
2.3.2 Fracture Resistance	55
2.3.3 Critical Stress Intensity Factor	55
2.4 Metal Fatigue	56
2.5 Ceramics	58
2.5.1 Mechanical Properties of Ceramics	62
2.5.2 Stress-Strain Behavior of Ceramics	63
2.6 Polymers	65
2.6.1 Impact Strength	68
2.6.2 Fatigue	68
2.7 Software Failures	69
Exercises	73
3 Probabilistic Models of Failure Phenomena	77
3.1 Distributions of Strengths of Materials	77
3.1.1 Empirical Distribution	77
3.1.2 Random Variables	80
3.1.3 Measures of Central Tendency of Distributions	80
3.1.4 Measures of Dispersion for a Distribution	82
3.1.5 The Normal (or Gaussian) Probability Distribution	83
3.2 Stress-Strength Interference	90
3.2.1 Labeling Convention to be Used	90
3.3 Probabilistic Engineering Design	94
3.3.1 Probability Distribution for Strength – (Approach in 2 ways)	94
3.3.2 Reliability Bounds in Probabilistic Design	95
3.3.3 Safety Index	96
3.3.4 Converting the Safety Index into Probability of Failure	99
3.3.5 A Determination of Probability of Failure Example	100
3.3.6 Modeling of Fatigue Phenomena	101
3.3.7 Statistical Aspects of Fatigue	102
3.3.8 Fatigue Measurements for a New Alloy	103
3.3.9 Single-Stress Fatigue Data	103
3.3.10 Cumulative Damage Considerations	106
3.3.11 The Linear Damage Theory	106
3.3.12 Cumulative Damage Theories	108
3.3.13 Multiple Sampling of the Load Distribution	109
3.3.14 Series System Under Load (Chain Model)	110
3.3.15 Extreme Values	112
3.3.16 Order Statistics	112
3.3.17 Extreme-Value Distributions	113
3.4 Graphical Analysis	118
3.4.1 Graphing Process	119
3.5 Extreme-Value Distribution Functions	124
3.5.1 Summary for n-Link Chain	124
3.5.2 Von Mises Form of the Extreme Value Distributions	125
3.6 The Weibull Distribution	125
Exercises	129
4 Life Models for Non-Repairable Items	135
4.1 Introduction	135
4.2 Qualitative Differences in Hazard Function	141
4.3 The Exponential Distribution	142
4.3.1 Exponential Model Represents No Wearout	145
4.4 Non-Parametric Methods	146
4.5 A More Detailed Examination of the Weibull Distribution	149
4.5.1 Mean and Variance of the Weibull Distribution	151
4.5.2 The Gamma Function	151
4.5 The Lognormal Distribution	160
4.6 The Binomial Distribution	161
4.6.1 Need for the Binomial Distribution	161
4.6.2 The Binomial Expansion	161
4.6.3 The Single-Term Formula	162
4.7 Statistical Inference	163
4.8 Different Types of Statistical Intervals	164
4.9 Estimation and Hypothesis Testing	165
4.9.1 Method of Moments	165
4.9.2 Confidence Intervals — Characteristics of Interest	166
4.9.3 One-Sided Confidence Bounds	167
4.9.4 Component Tolerances	167
4.10 Combining Random Variables	170
4.10.1 Combining Random Variables for Simple Functions	170
4.11 General Aspects of Reliability Data	173
4.12 Acquisition of Data	174
4.12.1 Types of Data	177
4.12.2 Multicensored Data	178
4.12.3 Multiple Failure Modes	180
4.12.4 Reliability and Life Data	180
4.14.5 Reliability Data Sources	182
4.15 Estimation Theory	184
4.15.1 Estimator Properties	184
Exercises	191
5 Reliability and Quality in Manufacturing	199
5.1 Statistical Quality Control	199
5.1.3 Statistical Basis of the Control Chart	202
5.1.4 Process Capability	203
5.1.5 Control Charts for Variables Measurements	204
5.2 Quality Tools	217
5.2.1 Cause and Effect Diagram	217
5.2.2 Pareto Analysis	218
Exercises	221
Appendices	229
A Notation	231
B Definitions	235
C Rules of Boolean Algebra	243
D Statistical Tables	247
Table D-1 Standard Normal Cumulative Distribution Function	249
Table D-2 Critical Values of Student’s t Distribution	253
Table D-3 Critical Values of Chi- Square χ2 α Distribution Function	255
Table D-4 Critical Values of the Kolmogorov-Smirnov Statistic	257
Table D-5 F-Cumulative Distribution Function, Upper 1Percentage Points	258
Table D-6 F-Cumulative Distribution Function, Upper 5 Percentage Points	260
Table D-7 F-Cumulative Distribution Function, Upper 10 Percentage Points	262
E References	265
F Answers to Selected Exercises	273
Subject Index	277

Reliability, Maintainability, Quality

Cybersecurity

Knowledge Management

Software Engineering

Consulting

Publications

Data & Tools

Reliability Engineering Training

Reliability, Maintainability, Quality

Cybersecurity

Knowledge Management

Software Engineering

Consulting

Publications

Data & Tools

Reliability Engineering Training

Applied Reliability Engineering Volume I, 5th Ed.

Product Description

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Table of Contents

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