基于电流信号短时过零率的电弧故障检测

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Abstract The present arc fault detection algorithms are complex and hard to be applied in the engineering cases because of the constraints in the hardware performance and the cost.So,an arc fault detection method using the current signal short time zero crossing rate is presented.The arc fault detection prototype device prototype with a micro control unit is then implemented.The main feature of the proposed method is that only addition and subtraction computations are required in extracting the feature vectors.The validity of the proposed method is testified by analyzing the arc fault current signal using the short time zero crossing rate feature and the comparison with the short time Fourier transform.The pattern matching algorithm is then used to detect and classify the arc fault.The experiment shows that the method is sensible to the arc fault current signal,effective in detecting and classifying the arc fault,and easy to be realized in the practical cases.

Key words： Arc fault zero crossing rate self-similarity short time Fourier transform

Received: 25 November 2014 Published: 14 September 2015

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	Articles by authors
	Liu Xiaoming
	Xu Yefei
	Liu Ting
	Yu Fangyu

Cite this article:

Liu Xiaoming,Xu Yefei,Liu Ting等. The Arc Fault Detection Based on the Current Signal Short Time Zero Crossing Rate[J]. Transactions of China Electrotechnical Society, 2015, 30(13): 125-133.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I13/125

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