基于小波变换与差值能量法相结合的串联故障电弧检测方法

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Abstract Because of the low current value of series arc fault in AC low voltage circuits and the normal current of some power electronic loads is similar to arc fault current, it is difficult to diagnose the series arc fault accurately. This paper presents a method of series arc fault analysis and diagnosis based on the wavelet transform and difference-energy. Mallat method is used to decompose the signals which are denoised by the wavelet threshold principle. Extract the layers in multi-resolution analysis results which contain much arc fault information and are not affected by the loads frequency for wavelet reconstruction. Then we apply the difference-energy method to diagnosis the signals after reconstruction. The accuracy of the algorithm is verified by the self-made experimental equipment.

Key words： difference-energy arc fault wavelet transform fault diagnosis

Published: 22 January 2018

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	Liu Chong
	Li Jiahong

Cite this article:

Liu Chong,Li Jiahong. Arc Fault Detection based on Wavelet Transform and Difference-energy[J]. Electrical Engineering, 2017, 18(12): 62-66.

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https://dqjs.cesmedia.cn/EN/Y2017/V18/I12/62

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