Reliability, Maintainability and Risk - David J. Smith
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Présentation Reliability, Maintainability And Risk de David J. Smith Format Broché
- Livre Technologie
Résumé : 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.
Biographie:
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....
Sommaire: 1. The History of Reliability and Safety Technology
2. Understanding Terms and Jargon
3. A Cost-Effective Approach to Quality, Reliability and Safety
4. Realistic Failure Rates and Prediction Confidence
5. Interpreting Data and Demonstrating Reliability
6. Variable Failure Rates and Probability Plotting
7. Basic Reliability Prediction Theory
8. Methods of Modelling
9. Quantifying the Reliability Models
10. Risk Assessment (QRA)
11. Design and Assurance Techniques
12. Design Review, Test and Reliability Growth
13. Field Data Collection and Feedback
14. Factors Influencing Down Time
15. Predicting and Demonstrating Repair Times
16. Quantified Reliability Centred Maintenance
17. Systematic Failures, Especially Software
18. Project Management and Competence
19. Contract Clauses and Their Pitfalls
20. Product Liability and Safety Legislation
21. Major Incident Legislation
22. Integrity of Safety Related Systems
23. A Case Study: The Datamet Project
24. A Case Study: Gas Detection System
25. A Case Study: Pressure Control System
26. A Case Study: Helicopter Incidents and Risk Assessment
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