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Semi-Markov Processes
Applications in System Reliability and Maintenance
A useful guide to solving system reliability and maintenance problems by applying the concepts of discrete space semi-Markov theory
Franciszek Grabski (Author)
9780128005187, Elsevier Science
Hardback, published 29 September 2014
270 pages
22.9 x 15.1 x 2.2 cm, 0.66 kg
"...a modern and successful monograph of this area...provides a very good look at the current knowledge in this area, offered by a recognized researcher of such kind of stochastic processes." --MathSciNet
Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance. The book explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those models. The book is a useful resource for mathematicians, engineering practitioners, and PhD and MSc students who want to understand the basic concepts and results of semi-Markov process theory.
1. Random process2. Discrete state space markov processes3. Semi-markov process4. Characteristics of semi-markov process5. Perturbed semi-markov processes6. Stochastic processes associated with semi-markov process7. Models of renewable cold standby system with repair8. Semi-markov models of multi-stage operation9. Semi-markov model of working rate process10. Multi-task operation process11. Semi-markov failure rate process12. Model of renewable series system13. Simple models of maintenance14. Multi-state process of system damage15. Multi-state system with semi-markov components16. Semi-markov maintenance net17. Semi-markov decision processes18. Appendix
Subject Areas: Environmental science, engineering & technology [TQ], Mechanical engineering [TGB], Maths for engineers [TBJ]
