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An integrated condition-based opportunistic maintenance framework for offshore wind farms

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  • Luo, Jiaxuan
  • Luo, Xiaofang
  • Ma, Xiandong
  • Zan, Yingfei
  • Bai, Xu

Abstract

The maintenance strategies commonly used in offshore wind farms may lead to under-maintenance or over-maintenance activities. To address this issue, this paper proposes an integrated condition-based opportunistic maintenance (CBOM) framework for the offshore wind farm, to balance the maintenance cost and component condition. Component health index (HI) is calculated based on the P-F (potential failure to functional failure) intervals to divide the component health stages, and the component type with the highest proportion in the operation and maintenance (O&M) cost is selected to determine the maintenance time window for multiple components. A maintenance priority index (PI) is calculated by the data envelopment analysis method (DEA) to determine the maintenance mode and sequence of individual components. The component with the lowest maintenance cost rate is selected by an exhaustive search algorithm (ESA) to reduce the total O&M cost in one maintenance action. Finally, a case study is carried out to demonstrate the feasibility of the proposed framework with the specific calculation process, and a comparison analysis is given. The results show that the proposed framework is an effective method for balancing the O&M cost against condition for the offshore wind farms.

Suggested Citation

  • Luo, Jiaxuan & Luo, Xiaofang & Ma, Xiandong & Zan, Yingfei & Bai, Xu, 2025. "An integrated condition-based opportunistic maintenance framework for offshore wind farms," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024007725
    DOI: 10.1016/j.ress.2024.110701
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