电机定子绝缘老化寿命预测研究进展

doi:10.19595/j.cnki.1000-6753.tces.190921

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Abstract Large generators are affected by operating conditions and environment during operation, and stator insulation is prone to damage leading to generator failure. As a hotspot of research for many years, stator insulation life prediction is an important method to improve the stability of generator operation. This paper summarizes the current methods of insulation life prediction, and classifies the insulation prediction methods into regression analysis based prediction, intelligent algorithm based prediction and data acquisition based prediction. The pros and cons of the three methods under various application conditions are analyzed. Finally, the problems existing in the current research and the future research trends of insulation prediction are proposed.

Key words： Large generator stator insulation aging regression analysis intelligent algorithm online prediction

Received: 23 July 2019

PACS:

TM305.2

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	Articles by authors
	Gao Junguo
	Meng Ruixiao
	Hu Haitao
	Zhang Xiaohong

Cite this article:

Gao Junguo,Meng Ruixiao,Hu Haitao等. Research Progress on Prediction of Aging Life of Motor Stator Insulation[J]. Transactions of China Electrotechnical Society, 2020, 35(14): 3065-3074.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190921 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I14/3065

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