Accepted author manuscript, 1.92 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - An integrated condition-based opportunistic maintenance framework for offshore wind farms
AU - Luo, Jiaxuan
AU - Luo, Xiaofang
AU - Ma, Xiandong
AU - Zan, Yingfei
AU - Bai, Xu
PY - 2025/4/30
Y1 - 2025/4/30
N2 - 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.
AB - 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.
KW - Maintenance framework
KW - Offshore wind farms
KW - Condition-based opportunistic maintenance
KW - Maintenance cost
KW - Component condition
U2 - 10.1016/j.ress.2024.110701
DO - 10.1016/j.ress.2024.110701
M3 - Journal article
VL - 256
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
SN - 0951-8320
M1 - 110701
ER -