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所属单位：自动化学院
发表刊物：IEEE Int. Conf. Electr. Syst. Aircraft, Railw., Ship Propuls. Road Veh. Int. Transp. Electr. Conf., ESARS-ITEC
摘要：Due to the randomness in time and space and unobvious characteristics, it is difficult to detect the DC arc fault. To solve the problem, this paper mainly studies the characteristics of DC arc fault in 270V high voltage DC power supply system. Wavelet transform is used to extract the frequency domain characteristic of the AC component of current in normal and arc fault state. The sum of amplitude squared of four level db20 wavelet is chosen as the characteristic in this paper, which can clearly distinguish normal and arc faults state. The ratio of arc fault characteristics to normal characteristics increases. © 2018 IEEE.
是否译文：否
发表时间：2018-07-02
合写作者：Zhang, Yaojia,杨善水
通讯作者：王莉,王莉