Semi-Markov Processes
eBook - ePub

Semi-Markov Processes

Applications in System Reliability and Maintenance

  1. 270 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Semi-Markov Processes

Applications in System Reliability and Maintenance

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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Yes, you can access Semi-Markov Processes by Franciszek Grabski in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Preface
  7. 1. Discrete state space Markov processes
  8. 2. Semi-Markov process
  9. 3. Characteristics and parameters of SMP
  10. 4. Perturbed Semi-Markov processes
  11. 5. Stochastic processes associated with the SM process
  12. 6. SM models of renewable cold standby system
  13. 7. SM models of multistage operation
  14. 8. SM model of working intensity process
  15. 9. Multitask operation process
  16. 10. Semi-Markov Failure Rate Process
  17. 11. Simple model of maintenance
  18. 12. Semi-Markov model of system component damage
  19. 13. Multistate systems with SM components
  20. 14. Semi-Markov maintenance nets
  21. 15. Semi-Markov decision processes
  22. Summary
  23. Bibliography
  24. Notation