Dynamic Assessment of Multi-State Systems Using Phase-Type Modeling

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Date

2015

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Sci Ltd

Open Access Color

Green Open Access

No

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Top 10%
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Top 10%

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Abstract

Multi-state systems have attracted great attention due to their wide applications in engineering. They have been effectively used in modeling various systems such as power supply systems and transportation systems. In this paper, phase type modeling is proposed for dynamic assessment of nonrepairable multi-state systems when the system degrades According to a Markov process. The utility of phase type modeling is demonstrated in the computation of mean lifetimes, mean residual lifetimes, and derivation of survival functions of series and parallel systems. A stochastic comparison result between two systems is also obtained using phase representations of survival functions. Extensive numerical results are presented to illustrate the applicability of the approach. (C) 2015 Elsevier Ltd. All rights reserved.

Description

Eryilmaz, Serkan/0000-0002-2108-1781

Keywords

Markov process, Multi-state systems, Phase type distributions

Fields of Science

0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Citation

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
23

Source

Reliability Engineering & System Safety

Volume

140

Issue

Start Page

71

End Page

77

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Citations

CrossRef : 11

Scopus : 30

Captures

Mendeley Readers : 18

SCOPUS™ Citations

30

checked on Mar 26, 2026

Web of Science™ Citations

24

checked on Mar 26, 2026

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8.0886

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