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Beschreibung
Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.
Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.
Über den Autor
Kishor S. Trivedi is a Professor of Electrical and Computer Engineering at Duke University, North Carolina, and a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a recipient of the IEEE Computer Society's Technical Achievement Award.
Inhaltsverzeichnis
Part I. Introduction: 1. Introduction; 2. Dependability evaluation; 3. Dependability metrics defined on a single unit; Part II. Non-State-Space Models (Combinatorial Models): 4. Reliability block diagram; 5. Network reliability; 6. Fault tree analysis; 7. State enumeration; 8. Dynamic redundancy; Part III. State-Space Models with Exponential Distributions: 9. Continuous time Markov chain: availability models; 10. Continuous time Markov chain: reliability models; 11. Continuous time Markov chain: queueing systems; 12. Petri nets; Part IV. State-Space Models with Non-Exponential Distributions: 13. Non-homogeneous CTMC; 14. Semi-Markov and Markov regenerative models; 15. Phase type expansion; Part V. Multi-Level Models; 16. Hierarchical models; 17. Fixed-point iteration; Part VI. Case Studies: 18. Case studies.
Details
Erscheinungsjahr: 2017
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781107099500
ISBN-10: 1107099501
Sprache: Englisch
Einband: Gebunden
Autor: Trivedi, Kishor S.
Bobbio, Andrea
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 250 x 175 x 43 mm
Von/Mit: Kishor S. Trivedi (u. a.)
Erscheinungsdatum: 03.08.2017
Gewicht: 1,417 kg
Artikel-ID: 109504919

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