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Extended Phase-type models for multistate competing risk systems.

Authors :
Cui, Lirong
Wu, Bei
Source :
Reliability Engineering & System Safety. Jan2019, Vol. 181, p1-16. 16p.
Publication Year :
2019

Abstract

Highlights • Two extended Phase-type models based on Markov repairable systems are proposed. • The distribution functions for two extended Phase-type distributions are presented. • Some reliability indexes under two models, such as the point-wise availabilities, various interval availabilities, are given. Abstract Two extended Phase-type models with competing risks for failures of Markov repairable systems with absorbing states are presented in this article. We divide the states into three subsets: perfect, imperfect and failure (absorption) for a Markov repairable system. Two models are developed in terms of the proposed failure criteria of the repairable system. For model 1, the system failure criteria of the repairable system are, whichever occurs first, (1) when the system goes into the failure state (absorption state), or (2) when the system transfers from imperfect states to other states, and before that time the transitions from perfect to imperfect states reached a specified number. For model 2, there still are two criteria whichever occurs first. The first one is the same as failure criterion (1) in model 1, but failure criterion (2) is replaced by (3) which is when the sojourn time in imperfect states exceeds a given threshold. Under two models, two distributions are proposed, which are extensions of the well-known Phase-type distribution. Some reliability indexes under two models, such as the distributions of lifetimes, the point-wise availabilities, various interval availabilities, are given. Finally, some numerical examples are presented to illustrate the results obtained in this article. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09518320
Volume :
181
Database :
Academic Search Index
Journal :
Reliability Engineering & System Safety
Publication Type :
Academic Journal
Accession number :
132628071
Full Text :
https://doi.org/10.1016/j.ress.2018.08.015