At the start of the 2026 academic year, ScholarText will become Cantook ScholarVox Learn more

Close

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.

Semi-Markov Processes: Applications in System Reliability and Maintenance

QRcode
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 reliab

See all description...

Author(s): Grabski, Franciszek

Publisher: Elsevier Science

Pub. Date: 2014

pages: 270

Language: lang_en

ISBN: 978-0-12-800518-7

eISBN: 978-0-12-800659-7

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 reliab

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.

  • 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.

See all description...