Abstract：An oil-paper insulation state diagnosis method based on multiple parameter regression of recovery voltage was proposed, which is easy to be one-sided and inaccurate in the assessment of oil-paper insulation. Firstly, according to the field measured data of different aging states collected in recent 10 years, bringing in the regression analysis method, used the furfural content in oil for the y axis, with the time-domain characteristic parameters for the x axis, to establish a five dimensional regression system. Secondly, the verification results of this model satisfied the regression check, which manifest that the calculated value of the dependent variable has a certain correlation with the measured value, and five parameters all have significant contribution. Finally, according to actual running state of transformers, the state classification strategy was formulated, and the circular classification diagram of insulation state was constructed, accuracy and credibility of the evaluation system were verified by the measured data of transformers without regression analysis. This method can provide new ideas for aging diagnosis of oil-paper insulation transformers.
蔡金锭, 叶荣, 陈汉城. 回复电压多元参数回归分析的油纸绝缘老化诊断方法[J]. 电工技术学报, 2018, 33(21): 5080-5089.
Cai Jinding, Ye Rong, Chen Hancheng. Aging Diagnosis Method of Oil-Paper Insulation Based on Multiple Parameter Regression Analysis of Recovery Voltage. Transactions of China Electrotechnical Society, 2018, 33(21): 5080-5089.
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2018, Vol. 33 
