Maintenance Optimization for Two-Component Series Systems With Degradation Dependence

This paper proposes a model of maintenance optimization for a system consisting of two dependent components in long-term operation, where both components are subject to dependent degradation. Gamma process is used to model the degradation, and Frank Copula is applied to describe the degradation depe...

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Bibliographic Details
Published inIEEE access Vol. 9; pp. 48174 - 48184
Main Authors Ma, Wei-Ning, Li, Hua, Yang, Zhi-Yuan, Hu, Qi-Wei
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
availability
Degradation
degradation dependence
Dependence
Economics
Inspection
Maintenance engineering
maintenance optimization
Optimization
Preventive maintenance
Reliability
Stochastic processes
Swarm intelligence
Two-component system
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ISSN2169-3536
2169-3536
DOI10.1109/ACCESS.2021.3062567

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Summary:This paper proposes a model of maintenance optimization for a system consisting of two dependent components in long-term operation, where both components are subject to dependent degradation. Gamma process is used to model the degradation, and Frank Copula is applied to describe the degradation dependence between the two components. We then consider degradation dependence to optimize maintenance strategy for the system to maximize its availability. The improved Artificial Bee Colony (ABC) algorithm is used to jointly determine inspection interval, opportunistic and preventive maintenance thresholds of the system. Finally, an example is provided to validate the proposed model.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3062567