Online Detection Method for Series Arcing Fault in Low Voltage System
Zhang Guanying1, 2, Zhang Xiaoliang1, Liu Hua1, Wang Youhua1
1. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China; 2. Post-Doctoral Research Station Baoding Tianwei Group Co. Ltd Baoding 071056 China
Abstract：Arcing faults are major cause of electrical fire. Thus, an effective and reliable detection method for arcing faults is an urgent requirement to prevent electrical fire. In this paper, an experiment platform based on residential electricity system is built, and then testing procedure is designed to detect the arcing fault signals in household appliances under different conditions. Based on the characteristics of arcing fault currents, an online detection method is presented in this paper. Herein, the original signal is obtained firstly from the difference value of two adjacent waveforms, and then is extracted after wavelet threshold de-noising and normalization. The amplitude of the extracted signal in a period is used as a characteristic value. This value combined with a given reference value is used as the judgment basis for the occurrence of arcing faults. Test results were obtained under single load conditions and combined load conditions, for the case of starting a load and its operation process, and under different work voltages. Hence, the common thresholds of characteristic values under different load conditions were obtained. At last, compared with other detection methods, it is demonstrated that the presented method is effective for the detection of arcing faults.
张冠英, 张晓亮, 刘华, 汪友华. 低压系统串联故障电弧在线检测方法[J]. 电工技术学报, 2016, 31(8): 109-115.
Zhang Guanying, Zhang Xiaoliang, Liu Hua, Wang Youhua. Online Detection Method for Series Arcing Fault in Low Voltage System. Transactions of China Electrotechnical Society, 2016, 31(8): 109-115.
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2016, Vol. 31 
