Learn about the techniques used for evaluating the reliability and availability of engineered systems with this comprehensive guide.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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.
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