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

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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]
Copyright of International Journal of Performability Engineering is the property of Totem Publisher, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Reliability Analysis of Multistate Systems Subject to Proof Testing Using Multiphase Markov Chains.
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  Data: <searchLink fieldCode="AR" term="%22Rajhi%2C+Wahbi%22">Rajhi, Wahbi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mechri%2C+Walid%22">Mechri, Walid</searchLink><relatesTo>1</relatesTo><i> walid.mechri@isim.rnu.tn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Performability+Engineering%22">International Journal of Performability Engineering</searchLink>. May2026, Vol. 22 Issue 5, p245-252. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Condition-based+maintenance%22">Condition-based maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+reliability+theory%22">Engineering reliability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+inspection%22">Engineering inspection</searchLink>
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  Data: 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]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Performability Engineering is the property of Totem Publisher, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.23940/ijpe.26.05.p2.245252
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 245
    Subjects:
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Markov processes
        Type: general
      – SubjectFull: Condition-based maintenance
        Type: general
      – SubjectFull: Systems theory
        Type: general
      – SubjectFull: Engineering reliability theory
        Type: general
      – SubjectFull: Engineering inspection
        Type: general
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      – TitleFull: Reliability Analysis of Multistate Systems Subject to Proof Testing Using Multiphase Markov Chains.
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              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Performability Engineering
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