Maintenance Policies for Two-Unit Balanced Systems Subject to Degradation

In this article, we present a novel maintenance policy optimization method for systems with two balanced components. The components in the system are assumed to degrade over time according to a bivariate Wiener process. The maintenance actions aim at eliminating the differences of degradation levels...

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Vydané v:IEEE transactions on reliability Ročník 71; číslo 2; s. 1116 - 1126
Hlavní autori: Zhao, Xiujie, Wang, Ziyu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Balanced systems
Bivariate analysis
Correlation
Costs
Decision analysis
Degradation
Dynamic programming
Inspection
Iterative algorithms
Iterative methods
Maintenance
Maintenance engineering
maintenance policy optimization
Markov decision process (MDP)
Markov processes
multivariate degradation
Optimization
Policies
Reliability
Sensitivity analysis
stochastic degradation
ISSN:0018-9529, 1558-1721
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Abstract In this article, we present a novel maintenance policy optimization method for systems with two balanced components. The components in the system are assumed to degrade over time according to a bivariate Wiener process. The maintenance actions aim at eliminating the differences of degradation levels of system components at the cost of aggravating the degradation. Utilizing the Markov decision process, the maintenance model is put forward under both the finite and the infinite planning horizons, from which we find the structural properties of the optimal policies. Backwards dynamic programming and value iteration algorithms are employed to optimize the maintenance decisions. Examples along with sensitivity analysis are presented to facilitate the illustration and insight attainment. We find that the maintenance policies are to a great extent regulated by the absolute degradation difference between the two components.
AbstractList In this article, we present a novel maintenance policy optimization method for systems with two balanced components. The components in the system are assumed to degrade over time according to a bivariate Wiener process. The maintenance actions aim at eliminating the differences of degradation levels of system components at the cost of aggravating the degradation. Utilizing the Markov decision process, the maintenance model is put forward under both the finite and the infinite planning horizons, from which we find the structural properties of the optimal policies. Backwards dynamic programming and value iteration algorithms are employed to optimize the maintenance decisions. Examples along with sensitivity analysis are presented to facilitate the illustration and insight attainment. We find that the maintenance policies are to a great extent regulated by the absolute degradation difference between the two components.
Author Zhao, Xiujie
Wang, Ziyu
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SubjectTerms Balanced systems
Bivariate analysis
Correlation
Costs
Decision analysis
Degradation
Dynamic programming
Inspection
Iterative algorithms
Iterative methods
Maintenance
Maintenance engineering
maintenance policy optimization
Markov decision process (MDP)
Markov processes
multivariate degradation
Optimization
Policies
Reliability
Sensitivity analysis
stochastic degradation
Title Maintenance Policies for Two-Unit Balanced Systems Subject to Degradation
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https://www.proquest.com/docview/2672806270
Volume 71
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