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Analysis of temperature anomaly of pitch motor based on SCADA data
Author(s): Lin Gui; Qiancheng Zhao; Qihui Ling; Anfeng Zhu; Xian Wang; Bing Zeng
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Paper Abstract

The working state of the pitch motor has a great influence on the operation of the wind turbine. In this paper, the 2MW wind turbine is taken as the research object. Based on the historical operation data of the wind turbine, the influencing factors of the pitch motor temperature deviating from the normal range are analyzed. First, the range of the pitch motor temperature is counted by the quartile method. Then, using Relief-F for feature selection, the characteristic parameters that have a great influence on the pitch motor temperature are screened out. According to the selected characteristic parameters, combined with the historical operation data of the wind turbine, the influencing factors of the abnormal temperature of the pitch motor are analyzed. Through analysis, it is found that the blade pitch angle, the pitch motor current and the battery box temperature show obvious trend changes in the period before and after the abnormality of the pitch motor temperature. They are related factors that affect the abnormal of the pitch motor temperature. The main meaning of this paper is to screen the characteristic parameters that affect the pitch motor temperature through the Relief-F algorithm. The selected characteristic parameters are representative and can be used as the input parameters of the prediction model of the pitch motor temperature. It can better deal with the difficult problem of parameter selection for early warning model modeling.

Paper Details

Date Published: 13 November 2019
PDF: 7 pages
Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 1134316 (13 November 2019); doi: 10.1117/12.2548688
Show Author Affiliations
Lin Gui, Hunan Univ. of Science and Technology (China)
Qiancheng Zhao, Hunan Univ. of Science and Technology (China)
Qihui Ling, Hunan Univ. of Science and Technology (China)
Anfeng Zhu, Hunan Univ. of Science and Technology (China)
Xian Wang, Hunan Univ. of Science and Technology (China)
Bing Zeng, XEMC Wind Power Co., Ltd. (China)


Published in SPIE Proceedings Vol. 11343:
Ninth International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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