
System reliability theory : models, statistical methods, and applications
Marvin Rausand
Bok · Engelsk · 2021
Originaltittel | |
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Medvirkende | |
Omfang | XXX, 813 sider : illustrasjoner, figurer, tabeller
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Utgave | Third edition
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Opplysninger | 1. utg. med Høylands navn først. - 1. Introduction – 2. The Study Object and its Functions – 3. Failures and Faults – 4. Qualitative System Reliability Analysis – 5. Probability Distributions in Reliability Analysis – 6. System Reliability Analysis – 7. Reliability Importance Metrics – 8. Dependent Failures – 9. Maintenance and Maintenance Strategies – 10. Counting Processes – 11. Markov Analysis – 12. Preventive Maintenance – 13. Reliability of Safety Systems – 14. Reliability Data Analysis – 15. Bayesian Reliability Analysis – 16. Reliability Data: Sources and Quality -- Appendix A. Acronyms -- Appendix B. Laplace Transforms: B.1. Important Properties of Laplace Transforms -- B.2. Laplace Transforms of Some Selected Functions.. - "Since the publication of the Second Edition of this popular textbook, new standards have changed the focus of reliability engineering, which introduced new concepts and terminology. Consequently, the Third Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. With an updated practical focus, incorporation of industry feedback, and many new examples based on real-world industry problems and data, this book begins with an introduction on reliability engineering and is followed by coverage on failures and failure analysis. The authors address failure models and qualitative system analysis and present new coverage on state space models. In addition, a new chapter on component reliability and availability is followed by a chapter on systems of independent components. Component importance is covered followed by a chapter on dependent failures, which now includes a discussion on causes of common cause failures, explicit versus implicit modeling, and the Beta-factor model. The authors also discuss counting processes and Markov Processes. In addition, the authors provide new sections on: maintenance assessment and optimization; advanced models failure rates; human errors; software bugs; CCFs (ICED + method in IEC 61508); generic failure rate databases; FRACAS data; application-specific data; frequency of dangerous failures (PFH); and reliability prediction. The book is supplemented with a companion website, which contains an Instructor Solutions Manual, lecture slides, reliability data sources, sample exam questions, and a terminology review"
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Emner | Pålitelighet
matematikk statistiske metoder sikkerhet pensum tma4275 tpk4120 risikoanalyse TPK5160 pålitilighet reliabilitet |
Dewey | |
ISBN | 9781119373520
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