Table of Contents

1.1 What is Reliability Engineering?

1.2 Why Teach Reliability Engineering?

1.3 Why Do Engineering Products Fail?

1.4 Probabilistic Reliability

1.5 Repairable and Non-Repairable Items

1.6 The Pattern of Failures with Time (Non-Repairable Items)

1.7 The Pattern of Failures with Time (Repairable Items)

1.8 The Development of Reliability Engineering

1.9 Courses, Conferences and Literature

1.10 Organizations Involved in Reliability Work

1.11 Reliability as an Effectiveness Parameter

1.12 Reliability Programme Activities

1.13 Reliability Economics and Management

2.1 Introduction

2.2 Variation

2.3 Probability Concepts

2.4 Rules of Probability

2.5 Continuous Variation

2.6 Continuous Distribution Functions

2.7 Summary of Continuous Statistical Distributions

2.8 Variation in Engineering

2.9 Conclusions

2.10 Discrete Variation

2.11 Statistical Confidence

2.12 Statistical Hypothesis Testing

2.13 Non-Parametric Inferential Methods

2.14 Goodness of Fit

2.15 Series of Events (Point Processes)

2.16 Computer Software for Statistics

2.17 Practical Conclusions

3.1 Introduction

3.2 Life Data Classification

3.3 Ranking of Data

3.4 Weibull Distribution

3.5 Computerized Data Analysis and Probability Plotting

3.6 Confidence Bounds for Life Data Analysis

3.7 Choosing the Best Distribution and Assessing the Results

3.8 Conclusions

4.1 Introduction

4.2 Monte Carlo Simulation Basics

4.3 Additional Statistical Distributions

4.4 Sampling a Statistical Distribution

4.5 Basic Steps for Performing a Monte Carlo Simulation

4.6 Monte Carlo Method Summary

5.1 Introduction

5.2 Distributed Load and Strength

5.3 Analysis of Load–Strength Interference

5.4 Effect of Safety Margin and Loading Roughness on Reliability (Multiple Load Applications)

5.5 Practical Aspects

6.1 Introduction

6.2 Fundamental Limitations of Reliability Prediction

6.3 Standards Based Reliability Prediction

6.4 Other Methods for Reliability Predictions

6.5 Practical Aspects

6.6 Systems Reliability Models

6.7 Availability of Repairable Systems

6.8 Modular Design

6.9 Block Diagram Analysis

6.10 Fault Tree Analysis (FTA)

6.11 State-Space Analysis (Markov Analysis)

6.12 Petri Nets

6.13 Reliability Apportionment

6.14 Conclusions

7.1 Introduction

7.2 Design for Reliability Process

7.3 Identify

7.4 Design

7.5 Analyse

7.6 Verify

7.7 Validate

7.8 Control

7.9 Assessing the DfR Capability of an Organization

7.10 Summary

8.1 Introduction

8.2 Mechanical Stress, Strength and Fracture

8.3 Fatigue

8.4 Creep

8.5 Wear

8.6 Corrosion

8.7 Vibration and Shock

8.8 Temperature Effects

8.9 Materials

8.10 Components

8.11 Processes

9.1 Introduction

9.2 Reliability of Electronic Components

9.3 Component Types and Failure Mechanisms

9.4 Summary of Device Failure Modes

9.5 Circuit and System Aspects

9.6 Reliability in Electronic System Design

9.7 Parameter Variation and Tolerances

9.8 Design for Production, Test and Maintenance

10.1 Introduction

10.2 Software in Engineering Systems

10.3 Software Errors

10.4 Preventing Errors

10.5 Software Structure and Modularity

10.6 Programming Style

10.7 Fault Tolerance

10.8 Redundancy/Diversity

10.9 Languages

10.10 Data Reliability

10.11 Software Checking

10.12 Software Testing

10.13 Error Reporting

10.14 Software Reliability Prediction and Measurement

10.15 Hardware/Software Interfaces

10.16 Conclusions

11.1 Introduction

11.2 Statistical Design of Experiments and Analysis of Variance

11.3 Randomizing the Data

11.4 Engineering Interpretation of Results

11.5 The Taguchi Method

11.6 Conclusions

12.1 Introduction

12.2 Planning Reliability Testing

12.3 Test Environments

12.4 Testing for Reliability and Durability: Accelerated Test

12.5 Test Planning

12.6 Failure Reporting, Analysis and Corrective Action Systems (FRACAS)

13.1 Introduction

13.2 Pareto Analysis

13.3 Accelerated Test Data Analysis

13.4 Acceleration Factor

13.5 Acceleration Models

13.6 Field-Test Relationship

13.7 Statistical Analysis of Accelerated Test Data

13.8 Reliability Analysis of Repairable Systems

13.9 CUSUM Charts

13.10 Exploratory Data Analysis and Proportional Hazards Modelling

13.11 Field and Warranty Data Analysis

14.1 Introduction

14.2 Reliability Metrics

14.3 Test to Success (Success Run Method)

14.4 Test to Failure Method

14.5 Extended Life Test

14.6 Continuous Testing

14.7 Degradation Analysis

14.8 Combining Results Using Bayesian Statistics

14.9 Non-Parametric Methods

14.10 Reliability Demonstration Software

14.11 Practical Aspects of Reliability Demonstration

14.12 Standard Methods for Repairable Equipment

14.13 Reliability Growth Monitoring

14.14 Making Reliability Grow

15.1 Introduction

15.2 Control of Production Variability

15.3 Control of Human Variation

15.4 Acceptance Sampling

15.5 Improving the Process

15.6 Quality Control in Electronics Production

15.7 Stress Screening

15.8 Production Failure Reporting Analysis and Corrective Action System (FRACAS)

15.9 Conclusions

16.1 Introduction

16.2 Availability Measures

16.3 Maintenance Time Distributions

16.4 Preventive Maintenance Strategy

16.5 FMECA and FTA in Maintenance Planning

16.6 Maintenance Schedules

16.7 Technology Aspects

16.8 Calibration

16.9 Maintainability Prediction

16.10 Maintainability Demonstration

16.11 Design for Maintainability

16.12 Integrated Logistic Support

17.1 Corporate Policy for Reliability

17.2 Integrated Reliability Programmes

17.3 Reliability and Costs

17.4 Safety and Product Liability

17.5 Standards for Reliability, Quality and Safety

17.6 Specifying Reliability

17.7 Contracting for Reliability Achievement

17.8 Managing Lower-Level Suppliers

17.9 The Reliability Manual

17.10 The Project Reliability Plan

17.11 Use of External Services

17.12 Customer Management of Reliability

17.13 Selecting and Training for Reliability

17.14 Organization for Reliability

17.15 Reliability Capability and Maturity of an Organization

17.16 Managing Production Quality

17.17 Quality Management Approaches

17.18 Choosing the Methods: Strategy and Tactics

17.19 Conclusions

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With emphasis on practical aspects of engineering, this bestseller has gained worldwide recognition
through progressive editions as the essential reliability textbook.
Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer
curriculum of the American Society for Quality (ASQ).


  • Applications of Monte Carlo simulation methods and reliability demonstration methods.
  • Software applications of statistical methods, including probability plotting and a wider use of
    common software tools.
  • Detailed descriptions of reliability prediction methods.
  • Comprehensive treatment of accelerated test data analysis and warranty data analysis.


Patrick O’Connor and Andre Kleyner