基于电流信号短时过零率的电弧故障检测

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摘要现有电弧故障检测方法运算复杂,实时检测下硬件性能要求和实现成本高,实际工况下可实施性差。为此,提出一种基于电流信号短时过零率的电弧故障检测方法,并利用微控制器实现电弧故障检测装置样机制作与实验,其主要特点在于电流信号短时过零率特征提取过程中有且仅有加减运算。电弧故障电流信号短时过零分析时,对比短时傅里叶变换分析验证得出:短时过零率可有效提取电弧故障信息。结合模式匹配识别算法完成电弧故障检测与分类。样机实验证明,该方法对电弧故障电流信号敏感,可有效实现电弧故障检测与分类,且易于实现。

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	刘晓明
	徐叶飞
	刘婷
	余方彧

关键词 ：电弧故障, 过零率, 自相似, 短时傅里叶变换

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

收稿日期: 2014-11-25 出版日期: 2015-09-14

PACS:

TM507

基金资助:国家自然科学基金(51377106)和国家自然科学基金重点项目(51337001)资助。

通讯作者: 徐叶飞男，1991年生，硕士研究生，研究方向为智能电器。

作者简介: 刘晓明女,1968年生,教授,博士生导师,研究方向为现代高压电器设计及应用、高电压与绝缘技术、智能电器。

引用本文:

刘晓明,徐叶飞,刘婷,余方彧. 基于电流信号短时过零率的电弧故障检测[J]. 电工技术学报, 2015, 30(13): 125-133. Liu Xiaoming ,Xu Yefei ,Liu Ting ,Yu Fangyu. The Arc Fault Detection Based on the Current Signal Short Time Zero Crossing Rate. Transactions of China Electrotechnical Society, 2015, 30(13): 125-133.

链接本文:

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

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