Classification and Identification of Over-voltage Based on HHT and SVM

作     者：WANG Jing YANG Qing CHEN Lin SIMA Wenxia 

作者机构：State Key Laboratory of Power Transmission Equipment&System Security and New TechnologyChongqing UniversityChongqing 400044China 

出 版 物：《高电压技术》 (High Voltage Engineering)

年 卷 期：2012年第38卷第8期

页      面：2068-2075页

核心收录：

学科分类：0808[工学-电气工程] 080803[工学-高电压与绝缘技术] 08[工学] 

基　　金：supported by National Basic Research Program of China(973 Program) 

主　　题：局部放电 射频信号 放电量 高电压技术 

摘      要：This paper proposes an effective method for over-voltage classification based on the Hilbert-Huang transform(HHT) ***-Huang transform method is composed of empirical mode decomposition(EMD) and Hilbert *** kinds of common power system over-voltages are calculated and analyzed by *** 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.