高电压技术2012，Vol.38Issue(8)：2068-2075,8.
Classification and Identification of Over-voltage Based on HHT and SVM
Classification and Identification of Over-voltage Based on HHT and SVM
摘要
Abstract
This paper proposes an effective method for over-voltage classification based on the Hilbert-Huang transform（HHT） method.Hilbert-Huang transform method is composed of empirical mode decomposition（EMD） and Hilbert transform.Nine kinds of common power system over-voltages are calculated and analyzed by HHT.Based on the instantaneous amplitude spectrum,Hilbert marginal spectrum and Hilbert time-frequency spectrum,three kinds of over-voltage characteristic quantities are obtained.A hierarchical classification system is built based on HHT and support vector machine（SVM）.This classification system is tested by 106 field over-voltage signals,and the average classification rate is 94.3%.This research shows that HHT is an effective time-frequency analysis algorithms in the application of over-voltage classification and identification.关键词
局部放电/射频信号/放电量/高电压技术Key words
over-voltage/Hilbert-Huang transform(HHT)/instantaneous amplitude spectrum/Hilbert marginal spectrum/Hilbert time-frequency spectrum/recognition分类
信息技术与安全科学引用本文复制引用
WANG Jing,YANG Qing,CHEN Lin,SIMA Wenxia..Classification and Identification of Over-voltage Based on HHT and SVM[J].高电压技术,2012,38(8):2068-2075,8.基金项目
supported by National Basic Research Program of China（973 Program） （）
