基于信息熵的串联型故障电弧频谱特征研究

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Abstract In the view of power supply safety problems influenced by series arc fault, a kind of analysis method of series arc fault spectral characteristic was put forward by the combination of wavelet packet entropy and short-time Fourier transform(STFT). Firstly, a low voltage series arc fault experiment platform was developed. A series of simulation experiments of typical loads were carried out. Secondly, the series arc fault current signal before and after arc burning stably was decomposed, restructured and normalized by using the frequency band energy decomposition technique of wavelet packet. Thirdly, the information entropy of reconstructed signal of each frequency band was calculated. By comparing the information entropy before and after the arc fault, the characteristic frequency band of current signal was 8-10.8KHz. Finally, the spectrum variation of the characteristic frequency band before and after the arc fault was obtained by STFT. When the unstable arc occurred, 8-10.8 KHz was still the arc fault characteristic frequency and frequency spectrum characteristics are still obvious. The results showed that it was feasible to study low-voltage series fault arc spectrum characteristics by wavelet packet and STFT.

Key words： Series arc fault wavelet packet information entropy short-time Fourier transform spectral characteristics

Received: 10 August 2014 Published: 14 September 2015

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	Liu Yanli
	Guo Fengyi
	Wang Zhiyong
	Chen Changken
	Li Ying

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Liu Yanli,Guo Fengyi,Wang Zhiyong等. Research on the Spectral Characteristics of Series Arc Fault Based on Information entropy[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 488-495.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I12/488

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