
Semi-Markov Processes
Applications in System Reliability and Maintenance
- 270 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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 bookexplains 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.- Clearly defines the properties and theorems from discrete state Semi-Markov Process (SMP) theory- Describes the method behind constructing Semi-Markov (SM) models and SM decision models in the field of reliability and maintenance- Provides numerous individual versions of SM models, including the most recent and their impact on system reliability and maintenance
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- 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