Abnormal State Identification Method for Wind Turbines Based on Improved DBSCAN and Random Forests
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Date
2026Author
Li, Wei
Wang, Honghui
Zhang, Yu
Fang, Xin
Tian, Xiaojie
Leng, Dingxin
Xie, Yingchun
Liu, Guijie
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AbstractAs a crucial component of wind power generation systems, wind turbines must operate
safely to prevent sudden failures. This requires effective identification of abnormal
operational states. In this study, we propose a novel approach for ...