Reliability, Maintainability and Risk

Reliability, Maintainability and Risk

Practical Methods for Engineers

10th Edition - December 4, 2021
  • Author: David Smith
  • Paperback ISBN: 9780323912617
  • eBook ISBN: 9780323912624

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Description

Reliability, Maintainability and Risk: Practical Methods for Engineers, Tenth Edition has taught reliability and safety engineers techniques to minimize process design, operation defects and failures for over 40 years. For beginners, the book provides tactics on how to avoid pitfalls in this complex and wide field. For experts in the field, well-described, realistic and illustrative examples and case studies add new insights and assistance. The author uses his more than 40 years of experience to create a comprehensive and detailed guide to the field, while also providing an excellent description of reliability and risk computation concepts. The book is organized into many parts, covering reliability parameters and costs, the history of reliability and safety technology, a cost-effective approach to quality, reliability and safety, how to interpret failure rates, a focus on the prediction of reliability and risk, a discussion of design and assurance techniques, and much more.

Key Features

  • Covers models for partial valve stroke test, fault tree logic and quantification difficulties
  • Includes more detail on the use of tools such as FMEDA and programming standards like MISRA
  • Presents case studies on the Datamet Project, Gas Detection System, Pressure Control System, and Helicopter Incidents and Risk Assessment
  • Provides user exercises and answers

Readership

Chemical, process, plant, oil and gas and related systems safety engineers; Academics who teach or research reliability, risk and safety

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Also by the same author
  • Copyright
  • Preface
  • Acknowledgments
  • Part 1. Understanding Reliability Parameters and Costs
  • Chapter 1. The History of Reliability and Safety Technology
  • 1.1. Failure Data
  • 1.2. Hazardous Failures
  • 1.3. Predicting Reliability and Risk
  • 1.4. Achieving Reliability and Safety-Integrity
  • 1.5. The RAMS-Cycle
  • 1.6. Contractual and Legal Pressures
  • 1.7. Reliability versus Functional Safety
  • Chapter 2. Understanding Terms and Jargon
  • 2.1. Defining Failure and Failure Modes
  • 2.2. Failure Rate and Mean Time Between Failures
  • 2.3. Interrelationships of Terms
  • 2.4. The Bathtub Distribution
  • 2.5. Down Time and Repair Time
  • 2.6. Availability, Unavailability and Probability of Failure on Demand
  • 2.7. Hazard and Risk-Related Terms
  • 2.8. Choosing the Appropriate Parameter
  • Chapter 3. A Cost-Effective Approach to Quality, Reliability and Safety
  • 3.1. Reliability and Optimum Cost
  • 3.2. Costs and Safety
  • 3.3. The Cost of Quality
  • Part 2. Interpreting Failure Rates
  • Chapter 4. Realistic Failure Rates and Prediction Confidence
  • 4.1. Data Accuracy
  • 4.2. Sources of Data
  • 4.3. Data Ranges
  • 4.4. Confidence Limits of Prediction
  • 4.5. Manufacturers’ Data (Warranty Claims)
  • 4.6. Soft Errors/Failures
  • 4.7. Overall Conclusions
  • Chapter 5. Interpreting Data and Demonstrating Reliability
  • 5.1. The Four Cases
  • 5.2. Inference and Confidence Levels
  • 5.3. The Chi-Square Test
  • 5.4. Understanding the Method in More Detail
  • 5.5. Double-Sided Confidence Limits
  • 5.6. Reliability Demonstration
  • 5.7. Sequential Testing
  • 5.8. Setting Up Demonstration Tests
  • Chapter 6. Variable Failure Rates and Probability Plotting
  • 6.1. The Weibull Distribution
  • 6.2. Using the Weibull Method
  • 6.3. More Complex Cases of the Weibull Distribution
  • 6.4. Continuous Processes
  • Part 3. Predicting Reliability and Risk
  • Chapter 7. Basic Reliability Prediction Theory
  • 7.1. Why Predict RAMS?
  • 7.2. Probability Theory
  • 7.3. Reliability of Series Systems
  • 7.4. Redundancy Rules
  • 7.5. General Features of Redundancy
  • Exercises
  • Chapter 8. Methods of Modeling
  • 8.1. Block Diagrams and Repairable Systems
  • 8.2. Common Cause (Dependent) Failure
  • 8.3. Fault Tree Analysis
  • 8.4. Event Tree Diagrams
  • Chapter 9. Quantifying the Reliability Models
  • 9.1. The Reliability Prediction Method
  • 9.2. Allowing for Diagnostics and Proof Tests
  • 9.3. FMEDA (Failure Mode, Effects and Diagnostic Analysis)
  • 9.4. Human Factors
  • 9.5. Simulation
  • 9.6. Comparing Predictions with Targets
  • Chapter 10. Risk Assessment (QRA)
  • 10.1. Frequency and Consequence
  • 10.2. Perception of Risk, ALARP and Cost per Life Saved
  • 10.3. Hazard Identification
  • 10.4. Factors to Quantify
  • Part 4. Achieving Reliability and Maintainability
  • Chapter 11. Design and Assurance Techniques
  • 11.1. Specifying and Allocating the Requirement
  • 11.2. Stress Analysis
  • 11.3. Environmental Stress Protection
  • 11.4. Failure Mechanisms
  • 11.5. Complexity and Parts
  • 11.6. Burn-In and Screening
  • 11.7. Maintenance Strategies
  • Chapter 12. Design Review, Test and Reliability Growth
  • 12.1. Review Techniques
  • 12.2. Categories of Testing
  • 12.3. Reliability Growth Modeling
  • Chapter 13. Field Data Collection and Feedback
  • 13.1. Reasons for Data Collection
  • 13.2. Information and Difficulties
  • 13.3. Times to Failure
  • 13.4. Spreadsheets and Databases
  • 13.5. Best Practice and Recommendations
  • 13.6. Analysis and Presentation of Results
  • 13.7. Manufacturers’ data
  • 13.8. Anecdotal Data
  • 13.9. No-Fault-Found
  • Chapter 14. Factors Influencing Down Time
  • 14.1. Key Design Areas
  • 14.2. Maintenance Strategies and Handbooks
  • Chapter 15. Predicting and Demonstrating Repair Times
  • 15.1. Prediction Methods
  • 15.2. Demonstration Plans
  • Chapter 16. Quantified Reliability Centered Maintenance
  • 16.1. What is QRCM?
  • 16.2. The QRCM Decision Process
  • 16.3. Optimum Replacement (Discard)
  • 16.4. Optimum Spares
  • 16.5. Optimum Proof Test
  • 16.6. Condition Monitoring
  • Chapter 17. Systematic Failures, Especially Software
  • 17.1. Random versus Systematic Failures
  • 17.2. Software-related Failures
  • 17.3. Software Failure Modeling
  • 17.4. Software Quality Assurance (Life Cycle Activities)
  • 17.5. Modern/Formal Methods
  • 17.6. Cyber Security
  • 17.7. Software Checklists
  • Part 5. Legal, Management and Safety Considerations
  • Chapter 18. Project Management and Competence
  • 18.1. Setting Objectives and Making Specifications
  • 18.2. Planning, Feasibility and Allocation
  • 18.3. Program Activities
  • 18.4. Responsibilities and Competence
  • 18.5. Functional Safety Capability (Management)
  • Chapter 19. Contract Clauses and Their Pitfalls
  • 19.1. Essential Areas
  • 19.2. Other Areas
  • 19.3. Pitfalls
  • 19.4. Penalties
  • 19.5. Subcontracted Reliability Assessments
  • Chapter 20. Product Liability and Safety Legislation
  • 20.1. The General Situation
  • 20.2. Strict Liability
  • 20.3. The Consumer Protection Act 1987
  • 20.4. Health and Safety at Work Act 1974
  • 20.5. Insurance and Product Recall
  • Chapter 21. Major Incident Legislation
  • 21.1. History of Major Incidents
  • 21.2. Development of major incident legislation
  • 21.3. Safety reports
  • 21.4. Offshore Safety Cases
  • 21.5. Problem Areas
  • 21.6. Rail
  • 21.7. Corporate Manslaughter and Corporate Homicide
  • Chapter 22. Integrity of Safety-Related Systems
  • 22.1. Safety-Related or Safety-Critical?
  • 22.2. Safety-Integrity Levels (SILs)
  • 22.3. Programable electronic systems (PESs)
  • 22.4. Current Guidance
  • 22.5. Framework for Certification
  • Chapter 23. A Case Study: The Datamet Project
  • 23.1. Introduction
  • 23.2. The Datamet Concept
  • 23.3. The Contract
  • 23.4. Detailed Design
  • 23.5. Syndicate Study
  • 23.6. Hints
  • Chapter 24. A Case Study: Gas Detection System
  • 24.1. Safety-Integrity Target
  • 24.2. Random Hardware Failures
  • 24.3. ALARP
  • 24.4. Architectures
  • 24.5. Life-Cycle Activities
  • 24.6. Functional Safety Capability
  • Chapter 25. A Case Study: Pressure Control System
  • 25.1. The Unprotected System
  • 25.2. Protection System
  • 25.3. Assumptions
  • 25.4. Reliability Block Diagram
  • 25.5. Failure Rate Data
  • 25.6. Quantifying the Model
  • 25.7. Proposed Design and Maintenance Modifications
  • 25.8. Modeling Common Cause Failure (Pressure Transmitters)
  • 25.9. Quantifying the Revised Model
  • 25.10. ALARP
  • 25.11. Architectural Constraints
  • Chapter 26. Helicopter Incidents and Risk Assessment
  • 26.1. Helicopter Incidents
  • 26.2. Risk Assessment - Floatation Equipment
  • 26.3. Effect of Pilot Experience on Incident Rate
  • Appendix 1. Glossary
  • Appendix 2. Percentage Points of the Chi-Square Distribution
  • Appendix 3. Microelectronic Failure Rates
  • Appendix 4. General Failure Rates
  • Appendix 5. Failure Mode Percentages
  • Appendix 6. Human Error Probabilities
  • Appendix 7. Fatality Rates
  • Appendix 8. Answers to Exercises
  • Appendix 9. Bibliography
  • Appendix 10. Scoring Criteria for BETAPLUS Common Cause Model
  • Appendix 11. Example of HAZOP
  • Appendix 12. HAZID Checklist
  • Appendix 13. Markov Analysis of Redundant Systems
  • Appendix 14. Calculating the GDF
  • Appendix 15. A Suggested “Standard” for Achieving Functional Safety
  • Index
  • Appendix 16

Product details

  • No. of pages: 516
  • Language: English
  • Copyright: © Butterworth-Heinemann 2021
  • Published: December 4, 2021
  • Imprint: Butterworth-Heinemann
  • Paperback ISBN: 9780323912617
  • eBook ISBN: 9780323912624

About the Author

David Smith

Dr. David J. Smith is the Proprietor of Technis Consultancy. He has written numerous books on Reliability and Safety over the last 40 years. His FARADIP database has become widely used, and his other software packages are also used throughout the profession. His PhD thesis was on the subject of reliability prediction and common cause failure. He contributed to the first drafting of IEC 61508 and chairs the IGEM panel which produces SR/15 (the gas industry safety related guidance). David is past President of the Safety and Reliability Society.

Affiliations and Expertise

Independent Consultant, Technis, Tonbridge, UK