Reliability Analysis of Multistate Systems Subject to Proof Testing Using Multiphase Markov Chains.

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Bibliographic Details
Title:	Reliability Analysis of Multistate Systems Subject to Proof Testing Using Multiphase Markov Chains.
Authors:	Rajhi, Wahbi¹, Mechri, Walid¹ walid.mechri@isim.rnu.tn
Source:	International Journal of Performability Engineering. May2026, Vol. 22 Issue 5, p245-252. 8p.
Subjects:	Reliability in engineering, Markov processes, Condition-based maintenance, Systems theory, Engineering reliability theory, Engineering inspection
Abstract:	Reliability analysis of multistate systems in multistate environments presents a significant challenge, particularly when considering proof testing parameters. This paper introduces a novel reliability assessment framework for multistate systems subjected to periodic inspection testing, utilizing Multiphase Markov Chains (MMC). The approach effectively represents system behavior across various degradation states while integrating the effects of proof testing. By modeling distinct operational phases, including normal operation, degraded states, and proof test interventions, this method improves the estimation of multistate systems unavailability. A case study illustrates the impact of key proof test parameters, such as test efficiency and risk of inducing failures, on overall multistate system reliability. Additionally, two simulation cases are conducted to examine the influence of various inspection test factors and highlight the advantages of maintenance strategies. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Reliability analysis of multistate systems in multistate environments presents a significant challenge, particularly when considering proof testing parameters. This paper introduces a novel reliability assessment framework for multistate systems subjected to periodic inspection testing, utilizing Multiphase Markov Chains (MMC). The approach effectively represents system behavior across various degradation states while integrating the effects of proof testing. By modeling distinct operational phases, including normal operation, degraded states, and proof test interventions, this method improves the estimation of multistate systems unavailability. A case study illustrates the impact of key proof test parameters, such as test efficiency and risk of inducing failures, on overall multistate system reliability. Additionally, two simulation cases are conducted to examine the influence of various inspection test factors and highlight the advantages of maintenance strategies. [ABSTRACT FROM AUTHOR]
ISSN:	09731318
DOI:	10.23940/ijpe.26.05.p2.245252