绝缘子污秽放电泄漏电流的多重分形特征研究

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摘要泄漏电流信号中含有丰富的体现绝缘子污秽放电发展的特征量。论文在反复实验研究的基础上, 利用分形理论提取了绝缘子污秽放电发展过程中泄漏电流的多重分形特征, 分析了4种污秽度及不同污秽放电发展区段中多重分形特征量的变化规律：得出不同污秽度下广义分形维数减小速度不同, 多重分形谱的谱宽随污秽度的增大而增大；不同污秽放电区段多重分形谱的形状和谱宽差异明显；结果表明：泄漏电流波形的广义分形维数和多重分形谱宽能有效预测污秽放电的发展趋势, 为污闪预警提供了一种新方法。

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	陈伟根
	汪万平
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关键词 ：绝缘子, 泄漏电流, 广义分形维数, 多重分形谱, 污秽度, 污秽放电区段

Abstract：In order to obtain effective contamination discharge characteristics hidden in leakage current waveforms, the variation method of fractal is used to extract multi-fractal characteristics by taking a number of experiments in the laboratory. The change features of generalized fractal dimension and multi-fractal spectrum are investigated under 4 kinds of contamination degrees and different contamination discharge zones. It shows that the decreasing rate of generalized fractal dimension values, as well as the width of multi-fractal spectrum, varies with 4 different degrees of contamination. Significant difference is observed for the width and shape of multi-fractal spectrum in different contamination discharge zones. These results present that the characteristics of generalized fractal dimension values and multi-fractal spectrum can be employed to predict the development of contamination discharge. It provides a new method for the pre-warning of contamination flashover.

Key words： Insulator leakage current generalized fractal dimensions multi-fractal spectrum contamination degree contamination discharge zones

收稿日期: 2011-11-02 出版日期: 2013-11-27

PACS:

TM852

基金资助:国家自然科学基金资助项目（50877025）。

作者简介: 陈伟根男,1967年生,博士,教授,博士生导师,长江学者奖励计划特聘教授,主要从事电气设备在线智能检测及故障诊断技术研究。汪万平男,1988年生,硕士研究生,主要从事电气设备在线智能检测及故障诊断技术研究。

引用本文:

陈伟根, 汪万平, 夏青. 绝缘子污秽放电泄漏电流的多重分形特征研究[J]. 电工技术学报, 2013, 28(1): 50-56. Chen Weigen, Wang Wanping, Xia Qing. Research on Multi-fractal Characteristics of Leakage Current for Contamination Discharge of Insulators. Transactions of China Electrotechnical Society, 2013, 28(1): 50-56.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2013/V28/I1/50

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