Semi-Markov processes : applications in system reliability and maintenance / Franciszek Grabski.
Publication details: Amsterdam : Elsevier, c2015.Description: xiii, 255 p. : illustrations ; 24 cmISBN:- 9780128005187
- 519.233 23 G728
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 519.233 G728 (Browse shelf(Opens below)) | Available | 136849 |
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| 519.233 G474 Markov chain Monte Carlo in practice | 519.233 G478 Markov processes | 519.233 G653 Application of the operational time in the theory of non-stationary Markov processes on a countable state space | 519.233 G728 Semi-Markov processes : | 519.233 G738 Markov chains : | 519.233 G977 Continuous-time Markov decision processes | 519.233 H145 Finite Markov chains and algorithmic applications |
Includes bibliographical references.
1. Discrete state space Markov processes --
2. Semi-Markov process --
3. Characteristics and parameters of SMP --
4. Perturbed semi-Markov processes --
5. Stochastic processes associated with the SM process --
6. SM models of renewable cold standby system --
7. SM models of multistage operation --
8. SM model of working intensity process --
9. Multitask operation process --
10. Semi-Markov failure rate process --
11 Simple model of maintenance --
12. Semi-Markov model of system component damage --
13. Multistate systems with SM components --
14. Semi-Markov maintenance nets --
15. Semi-Markov decision processes --
Summary --
Bibliography --
Notation.
This book provides a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance. It explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those models. Topics include: properties and theorems from discrete state Semi-Markov Process (SMP) theory; method behind constructing Semi-Markov (SM) models and SM decision models in the field of reliability and maintenance; numerous individual versions of SM models, including the most recent and their impact on system reliability and maintenance.
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