Interference Suppressing in Partial Discharge Measurements Based on LS-SVM Regression

摘要：

In partial discharge (PD) measurements of electric power equipment there is always a lot of interference, of which the periodicity narrow-band interference demonstrates strongly in both time domain and frequency domain, so it must be filtered in advance. Based on the research of the threshold value of frequency domain and Wavelet filtering method, the least square support vector machine (LSSVM) regression algorithm is proposed in this paper to improve traditional method of frequency domain analysis, and which can adapt the narrow-band interference in a wider frequency band. Finally this method is used in interference suppressing of factual PD signals, the result shows that the method is effective.

关键词： electric power equipment partial discharge narrow-band interference LS-SVM regression

作者: Hong Shen XiaoHong Kong XiQu Chen JiaXi Du Wei Zhang

作者单位: Mechanical and Electrical Department, Henan Institute of Science and Technology, Xinxiang, 453003,China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 108-112

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）