Published January 2019 | Version v1
Journal article

Extended Phase-type models for multistate competing risk systems

  • 1. School of Management & Economics, Beijing Institute of Technology, Beijing (China)

Description

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.

Additional details

Identifiers

DOI
10.1016/j.ress.2018.08.015;
PII
S0951832018302643;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
181
Journal Page Range
p. 1-16
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55017141
Subject category
S42: ENGINEERING;
Descriptors DEI
ABSORPTION; DISTRIBUTION FUNCTIONS; HAZARDS; MARKOV PROCESS; RELIABILITY
Descriptors DEC
FUNCTIONS; SORPTION; STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.