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Reliability Analysis of a Pseudo Working Markov Repairable System
| Content Provider | Scilit |
|---|---|
| Author | Wu, Bei Cui, Lirong |
| Copyright Year | 2020 |
| Description | This chapter applies the theory of aggregated stochastic processes to derive the formulas for the distribution of time to first failure, point-wise, and interval availabilities of the new proposed repairable system. A reliability analysis of a Markov repairable system has been a hot topic for some time and various models based on Markov processes have been developed. B. Liu et al. proposed a cold standby repairable system with working vacations and vacation interruption following a Markovian arrival process. The chapter discusses reliability indexes such as the distributions of the time to first failure, mean time to first failure, point-wise availabilities, steady availabilities and interval availabilities under two cases when τ is a constant and a random variable. It examines several reliability indexes of systems under the circumstances when τ is a constant or a random variable respectively. Book Name: Stochastic Models in Reliability Engineering |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2019-0-04444-6&isbn=9780429331527&doi=10.1201/9780429331527-1&format=pdf |
| DOI | 10.1201/9780429331527-1 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-07-29 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Stochastic Models in Reliability Engineering Repairable System Interval Availabilities |
| Content Type | Text |
| Resource Type | Chapter |
