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.
高俊国, 孟睿潇, 胡海涛, 张晓虹. 电机定子绝缘老化寿命预测研究进展[J]. 电工技术学报, 2020, 35(14): 3065-3074.
Gao Junguo, Meng Ruixiao, Hu Haitao, Zhang Xiaohong. Research Progress on Prediction of Aging Life of Motor Stator Insulation. Transactions of China Electrotechnical Society, 2020, 35(14): 3065-3074.
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