基于多元线性回归的风机发电机散热健康度评估方法

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Abstract In response to the problem of the conventional cooling early warning of wind turbine generator, this paper puts forward the cooling early warning method of wind turbine generator based on multiple linear regression, which makes effective use of the existing new energy centralized control system environment, adopts Pearson coefficient analysis and establishes the early warning framework, and forms the early warning model by multiple linear regression calculation. At the same time, according to different models and different working conditions, different evaluation indexes of generator cooling warning threshold are established, which makes the warning model more flexible and more accurate. The verification results of the example show that this method can correctly achieve the cooling early warning for wind turbine generators.

Key words： wind turbine generator cooling linear regression machine learning

Received: 28 June 2024

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	Articles by authors
	JIANG Kai
	JIN Yanlei
	QIN Guanjun

Cite this article:

JIANG Kai,JIN Yanlei,QIN Guanjun. Research on the early warning of cooling time sequence of wind turbine generator based on multiple linear regression[J]. Electrical Engineering, 2025, 26(3): 49-52.

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https://dqjs.cesmedia.cn/EN/Y2025/V26/I3/49

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