Tingshun Li1, Jiaohui Xu1,*, Zesan Liu2, Dadi Wang2, Wen Tan1
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 767-782, 2023, DOI:10.32604/cmes.2022.020702
Abstract The blades of wind turbines located at high latitudes are often covered with ice in late autumn and winter, where
this affects their capacity for power generation as well as their safety. Accurately identifying the icing of the blades
of wind turbines in remote areas is thus important, and a general model is needed to this end. This paper proposes
a universal model based on a Deep Neural Network (DNN) that uses data from the Supervisory Control and Data
Acquisition (SCADA) system. Two datasets from SCADA are first preprocessed through undersampling, that is,
they are labeled, normalized, and balanced. The… More >
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