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绝缘子交流泄漏电流中周期与陡脉冲分量分离方法的研究 被引量:5

Study of Separation of Periodic Component and Steep Impulsive Component in Insulator AC Leakage Current
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摘要 绝缘子泄漏电流中有时会包含很陡的脉冲分量和周期分量,它们各自含有绝缘子污秽和闪络的丰富信息,将它们有效分离将能提高绝缘子泄漏电流的利用效果。笔者提出将两种滤波方法,即中值滤波算法和53H算法用于泄漏电流周期分量与陡脉冲分量的分离。分析了现有方法存在的不足后指出文中的两种方法能有效对信号中的突变点进行识别,而陡脉冲放电信号恰恰存在明显的突变点,因此在各种情况下能有效识别出泄漏电流信号中的陡脉冲分量,从而实现对周期分量和陡脉冲分量的较好分离。对实验测量所得多种情况下泄漏电流的分离验证了文中所提方法的有效性。同时分析了两种算法中窗长度对泄漏电流分离结果的影响,表明在较大的窗长度范围内两种算法都有较好效果。 Abstract: Generally, the alternating current (AC) leakage current of insulators is compose of very steep impulsive component and periodic component. They contain important information about the contamination and flashover condition of the insulators. So, the effective separation of the two components is important. In the paper, two methods for separation of the periodic component and steep impulsive component are presented, namely median filter algorithm and 53H algorithm. After the analysis of the shortcoming of the existing methods, it indicates that the two methods proposed by the paper can effectively identify the catastrophe point of the leakage current signal. And the steep impulsive component is correspongding to the catastrophe point of the leakage current, so which can be located accurately in different condition, then the periodic component and steep impulsive component will be separated well. To verify the effectiveness of the proposed filter, the two methods are used to separate the different leakage current of insulators measured by experiment, the results show the proposed methods can improve the separation performance effectively. In the meantime, the influence of the window length on the separation effect is analyzed by simulation, the result indicates that the two methods all have good effectiveness in large range of the window length.
出处 《高压电器》 CAS CSCD 北大核心 2012年第2期12-18,共7页 High Voltage Apparatus
基金 国家重点基础研究发展计划项目(973项目)(2009CB724508) 中央高校基本科研业务费专项资金资助(11MG42)~~
关键词 泄漏电流 周期分量 脉冲分量 分离 中值滤波 53H算法 leakage current periodic component impulsive component separation median filter 53H algorithm
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