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Reliability, Maintainability and Risk: Practical Methods for Engineers, Ninth Edition, has taught reliability and safety engineers techniques to minimize process design, operation defects, and failures for 35 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 insight and assistance. The author uses his 40 years of experience to create a comprehensive and detailed guide to the field, also providing an excellent description of reliability and risk computation concepts. View more >

Key Features
Additional chapter on helicopter and aviation safety record
Coverage of models for partial valve stroke test, fault tree logic and quantification difficulties
More detail on use of tools such as FMEDA and programming standards like MISRA
Readership
Chemical, process, plant, oil & gas and related systems safety engineers



Table of Contents
Part 1: Understanding Reliability Parameters and Costs

Chapter 1: The History of Reliability and Safety Technology

Abstract
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

Abstract
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

Abstract
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

Abstract
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. Overall Conclusions
Chapter 5: Interpreting Data and Demonstrating Reliability

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
9.1. The Reliability Prediction Method
9.2. Allowing for Diagnostic Intervals
9.3. FMEDA (Failure Mode and Diagnostic Analysis)
9.4. Human Factors
9.5. Simulation
9.6. Comparing Predictions with Targets
Chapter 10: Risk Assessment (QRA)

Abstract
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

Abstract
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

Abstract
12.1. Review Techniques
12.2. Categories of Testing
12.3. Reliability Growth Modeling
Chapter 13: Field Data Collection and Feedback

Abstract
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. Examples of Failure Report Forms
13.10. No-Fault-Found (NFF)
Chapter 14: Factors Influencing Down Time

Abstract
14.1. Key Design Areas
14.2. Maintenance Strategies and Handbooks
Chapter 15: Predicting and Demonstrating Repair Times

Abstract
15.1. Prediction Methods
15.2. Demonstration Plans
Chapter 16: Quantified Reliability Centered Maintenance

Abstract
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

Abstract
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. Software Checklists
Part 5: Legal, Management and Safety Considerations

Chapter 18: Project Management and Competence

Abstract
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
18.6. Standards and Guidance Documents
Chapter 19: Contract Clauses and Their Pitfalls

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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 Capa