IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v256y2025ics0951832024007725.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024007725
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2024.110701?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024007725. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.