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Reliability, Maintainability and Risk
Description
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. The book is organized into five parts. Part One covers reliability parameters and costs traces the history of reliability and safety technology, presenting a cost-effective approach to quality, reliability, and safety. Part Two deals with the interpretation of failure rates, while Part Three focuses on the prediction of reliability and risk. Part Four discusses design and assurance techniques, review and testing techniques, reliability growth modeling, field data collection and feedback, predicting and demonstrating repair times, quantified reliability maintenance, and systematic failures, while Part 5 deals with legal, management and safety issues, such as project management, product liability, and safety legislation.
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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
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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
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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
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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
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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 Capability
Chapter 25: A Case Study: Pressure Control System
Abstract
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
Abstract
26.1. Helicopter Incidents
26.2. Risk Assessment - Floatation Equipment
26.3. Effect of Pilot Experience on Incident Rate
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