Recognition Method of Pantograph Arc Based on Current Signal Characteristics
Wang Zhiyong1, 2, Guo Fengyi1, Feng Xiaoli1, Wang Yuting1, Chen Cheng1, 3
1. Faulty of Electrical and Control Engineering Liaoning Technical University Huludao 125105 China; 2. College of Safety Science and Engineering Liaoning Technical University Huludao 125105 China; 3. State Grid East Inner Mongolia Electric Power Corporation Limited Hohhot 010020 China
Abstract：Pantograph arc has become a serious hidden trouble to the safety operation of train. It’s of great significance to recognize timely pantograph arc for evaluating current collection quality, controlling arc and guiding maintenance. Current collection experiments under different conditions were carried out. The current collection status was divided into normal collection status and arc collection status. A kind of on-time recognition method of pantograph arc based on current signal and support vector machine (SVM) was proposed. An engineering implementation method was briefly introduced. The mean value, standard deviation and correlation coefficient of current were selected by the improved F-score (I-F-score) algorithm as typical characteristics of pantograph arc. The SVM model was established by using svmtrain function with Matlab software and the parameters of radial basis function were optimized by using grid search method. Lots of testing results showed that the suggested method can identify pantograph arc effectively. Some factors such as contact pressure, sliding speed, contact current, arc duration and sample rate have certain effects on recognition accuracy. Arc duration has larger effect on the recognition accuracy. The longer the arc duration, the higher the recognition accuracy is.
王智勇, 郭凤仪, 冯晓丽, 王玉婷, 陈程. 基于电流信号特征的弓网电弧识别方法[J]. 电工技术学报, 2018, 33(1): 82-91.
Wang Zhiyong, Guo Fengyi, Feng Xiaoli, Wang Yuting, Chen Cheng. Recognition Method of Pantograph Arc Based on Current Signal Characteristics. Transactions of China Electrotechnical Society, 2018, 33(1): 82-91.
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2018, Vol. 33 
