Semi-Supervised Blade Icing Detection Method Based on Tri-XGBoost

Blade icing caused by low-temperature environments results in the degradation of wind turbine power performance. As there is no obvious influence on the performance of wind turbines in the early stage of blade icing, it is difficult to detect the early icing state, so there will be inaccurate labels...

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Bibliographic Details

Published in:	Actuators
Main Authors:	Junfeng Man, Feifan Wang, Qianqian Li, Dian Wang, Yongfeng Qiu
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	blade icing imbalanced data semi-supervised learning tri-training XGBoost
Online Access:	https://www.mdpi.com/2076-0825/12/2/58