Application of intelligent rain erosion system design and prediction of fatigue damage of wind power blade leading edge coating

Zhenghang Yi; Yuntao Yue; Zhenhao Jiang; Kang Ye; Junhui Lu; Xufeng Zhou; Yuechi Yu

doi:10.1117/12.3051005

12 December 2024 Application of intelligent rain erosion system design and prediction of fatigue damage of wind power blade leading edge coating

Zhenghang Yi, Yuntao Yue, Zhenhao Jiang, Kang Ye, Junhui Lu, Xufeng Zhou, Yuechi Yu

Author Affiliations +

Proceedings Volume 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024); 134193O (2024) https://doi.org/10.1117/12.3051005
Event: Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 2024, Lhasa, China

Abstract

At present, the development of wind power at home and abroad is facing many technological innovations and challenges, and the trend of large-scale blade is inevitable, but its reliability cannot be guaranteed. In view of the fact that most of the service locations of wind turbines are in areas with heavy rainfall, a set of intelligent rain erosion system is designed to simulate natural rainfall, and the life of the leading edge coating of wind turbines is predicted based on the fatigue damage of rain erosion, so as to reduce the maintenance cost of wind turbines, improve unit safety and increase energy output.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenghang Yi, Yuntao Yue, Zhenhao Jiang, Kang Ye, Junhui Lu, Xufeng Zhou, and Yuechi Yu "Application of intelligent rain erosion system design and prediction of fatigue damage of wind power blade leading edge coating", Proc. SPIE 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 134193O (12 December 2024); https://doi.org/10.1117/12.3051005

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