- Cover Page
- Title Page
- Copyright
- Dedication
- Contents
- Preface to the First Edition
- Preface to the Second Edition
- Preface to the Third Edition
- Preface to the Third Edition Revised
- Preface to the Fourth Edition
- Preface to the Fifth Edition
- Acknowledgements
- 1: Introduction to Reliability Engineering
- 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: Reliability Mathematics
- 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: Life Data Analysis and Probability Plotting
- 4: Monte Carlo Simulation
- 5: Load–Strength Interference
- 6: Reliability Prediction and Modelling
- 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: Design for Reliability
- 8: Reliability of Mechanical Components and Systems
- 9: Electronic Systems Reliability
- 10: Software Reliability
- 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: Design of Experiments and Analysis of Variance
- 12: Reliability Testing
- 13: Analysing Reliability Data
- 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: Reliability Demonstration and Growth
- 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: Reliability in Manufacture
- 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: Maintainability, Maintenance and Availability
- 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: Reliability Management
- 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
- Appendix 1: The Standard Cumulative Normal Distribution Function
- Appendix 2: χ 2 (α, ν) Distribution Values
- Appendix 3: Kolmogorov–Smirnov Tables
- Appendix 4: Rank Tables (5%, 95%)
- Appendix 5: Failure Reporting, Analysis and Corrective Action System (FRACAS)
- Appendix 6: Reliability, Maintainability (and Safety) Plan Example
- Appendix 7: Matrix Algebra Revision
- Index
To my wife Lois,
for encouragement and support,
and to the memory of Ina
Patrick O'Connor
To my wife and best friend Faina,
for her patience and unwavering support
Andre Kleyner
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