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所属单位：自动化学院
发表刊物：IEEE Int. Conf. Progn. Heal. Manag., ICPHM
摘要：Dc arc fault has no zero-crossing point and is difficult to identify, which poses a great challenge to the security and stability of the dc power supply system. Detrended fluctuation analysis (DFA) is suitable for analyzing non-stationary signal. This paper, based on the experimental data of current AC component from automatic fault diagnosis platform, utilizing the (DFA) algorithm to extract arc fault characteristic, the least squares support vector machine (LS-SVM) is as the classifier to identify the arc fault, the experiment show that the proposed method is with satisfactory fault classification performance which is better than that based on time-frequency analysis. © 2018 IEEE.
是否译文：否
发表时间：2018-08-27
合写作者：Yin, Zhendong,Zhang, Yaojia
通讯作者：王莉,Yin, Zhendong,王莉