作者：刘凡¹, 徐洋涛², 孙茂一³, 张安安², 何聪²

作者单位：1. 国网四川电力科学研究院, 四川 成都 610072;
2. 西南石油大学电气信息学院, 四川 成都 610500;
3. 中国测试技术研究院, 四川 成都 610021

关键词：局部放电;改进的HHT;电缆附件;模式识别

摘要：

针对高压电力电缆附件局部放电信号分析方法准确性低的问题,提出一种改进的HHT变换方法,即小波变换做预处理、HHT变换多点分析的方法,使得信号在分解变换处理后噪声能够得到有效滤除,并且能使频谱图更准确地表达信号所含频率成分;制作3种高压电力电缆附件典型缺陷模型,分别施加电压进行试验,联合多种传感器同步采集局部放电信号;采用支持向量机和极限学习机两种模式识别方法进行识别对比,证明极限学习机方法对于缺陷局部放电信号识别可靠性更高;在电缆附件缺陷类型识别的基础上,以击穿电压对比法建立电缆附件剩余寿命预估方程。

An analysis method of partial discharge of high voltage power cable accessories based on HHT

LIU Fan¹, XU Yangtao², SUN Maoyi³, ZHANG An'an², HE Cong²

1. Sichuan Electric Power Research Institute, Chengdu 610072, China;
2. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China;
3. National Institute of Measurement and Testing Technology, Chengdu 610021, China

Abstract: An improved HHT method was proposed to improve the accuracy in analyzing partial discharge signals of high voltage power cable accessories. To be more specific, wavelet transformation is used for preprocessing and HHT for multi-point analysis. In this way, the signal noise is effectively filtered after transformation and decomposition and the frequency components contained in the signal are expressed more accurately in Hilbert spectrum. Three typical defect models for high voltage power cable accessories were established and each was applied with voltage for test. Besides, multiple sensors were used as well to collect partial discharge signals. Two pattern recognition methods namely support vector machine(SVM) and extreme learning machine (ELM) were employed to identify and compare these defect models. It is proved that ELM is more reliable in identifying the partial discharge signals of defects. Moreover, a breakdown voltage contrast method was designed to establish a predication equation for the remaining lives of cable accessories based on the recognition of defect types.

Keywords: partial discharge;improved HHT;cable accessories;pattern recognition

2016, 42(4): 33-37  收稿日期: 2015-07-28;收到修改稿日期: 2015-10-10

基金项目: 

作者简介: 刘凡(1978-),男,四川攀枝花市人,高级工程师,博士,主要从事高电压技术、电压稳定与控制方面的研究。

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