Academic Journal

Reliability modeling and optimal maintenance strategies for stochastically deteriorating systems with random degradation latency.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Reliability modeling and optimal maintenance strategies for stochastically deteriorating systems with random degradation latency.
Συγγραφείς: Dong, Wenjie, Cao, Yingsai, Zhang, Jingru
Πηγή: Annals of Operations Research; Feb2025, Vol. 345 Issue 1, p105-124, 20p
Θεματικοί όροι: Poisson processes, Electric lines, Reliability in engineering, Stochastic processes, Cost
Περίληψη: This paper mainly deals with the reliability modeling and optimal preventive replacement policies for a stochastically deteriorating system with random shocks. Specifically, the system is subject to stochastic performance deterioration, in which it is described with a Gamma process and degrades after a random degradation latency period. At the same time, a random shock process with a non-homogenous Poisson process is incorporated into system degradation modeling, where two kinds of shock effectiveness are formed upon arrival. The dependence between the degradation-induced failure and the shock-induced failure is bidirectional in this research. Based on system survival function, a periodic replacement policy and an inspection replacement policy are respectively investigated. The optimal solutions to the two preventive replacement policies are sought analytically and their resulting long-run average cost rates are compared to decide which one is more profitable. Finally, an illustrative example of the gas insulated transmission line is surveyed to validate the theoretical results, demonstrating that the random degradation onset time and two kinds of shocks are significant factors to system reliability evaluation and maintenance decisions. [ABSTRACT FROM AUTHOR]
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  – Url: https://dx.doi.org/doi:10.1007/s10479-024-06334-5
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  Label: Title
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  Data: Reliability modeling and optimal maintenance strategies for stochastically deteriorating systems with random degradation latency.
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  Data: <searchLink fieldCode="AR" term="%22Dong%2C+Wenjie%22">Dong, Wenjie</searchLink><br /><searchLink fieldCode="AR" term="%22Cao%2C+Yingsai%22">Cao, Yingsai</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jingru%22">Zhang, Jingru</searchLink>
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  Data: Annals of Operations Research; Feb2025, Vol. 345 Issue 1, p105-124, 20p
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  Data: <searchLink fieldCode="DE" term="%22Poisson+processes%22">Poisson processes</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+lines%22">Electric lines</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+processes%22">Stochastic processes</searchLink><br /><searchLink fieldCode="DE" term="%22Cost%22">Cost</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: This paper mainly deals with the reliability modeling and optimal preventive replacement policies for a stochastically deteriorating system with random shocks. Specifically, the system is subject to stochastic performance deterioration, in which it is described with a Gamma process and degrades after a random degradation latency period. At the same time, a random shock process with a non-homogenous Poisson process is incorporated into system degradation modeling, where two kinds of shock effectiveness are formed upon arrival. The dependence between the degradation-induced failure and the shock-induced failure is bidirectional in this research. Based on system survival function, a periodic replacement policy and an inspection replacement policy are respectively investigated. The optimal solutions to the two preventive replacement policies are sought analytically and their resulting long-run average cost rates are compared to decide which one is more profitable. Finally, an illustrative example of the gas insulated transmission line is surveyed to validate the theoretical results, demonstrating that the random degradation onset time and two kinds of shocks are significant factors to system reliability evaluation and maintenance decisions. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature 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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        Value: 10.1007/s10479-024-06334-5
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        Text: English
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        Type: general
      – SubjectFull: Electric lines
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      – SubjectFull: Reliability in engineering
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      – SubjectFull: Stochastic processes
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      – SubjectFull: Cost
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      – TitleFull: Reliability modeling and optimal maintenance strategies for stochastically deteriorating systems with random degradation latency.
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              Text: Feb2025
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              Y: 2025
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