电力系统及其自动化学报2019，Vol.31Issue(4)：139-144,6.DOI:10.19635/j.cnki.csu-epsa.000047
基于电流振幅与SVM的输电线路故障分类
Fault Classification for Transmission Lines Based on Current Amplitude and SVM
费春国 1霍洪双2
作者信息
- 1. 中国民航大学电子信息与自动化学院,天津 300300
- 2. 中国民航大学电子信息与自动化学院,天津 300300
- 折叠
摘要
Abstract
To further improve the speed and accuracy of fault classification and identification for transmission lines,a novel fault classification method is proposed based on current amplitude and support vector machine(SVM)in this pa?per.Aiming at three-phase fault current signals,this method only adoptsthe half-cycle fault signals of three-phase cur?rent intercepted after filtering as the basic fault feature signals instead of using any feature extraction algorithms;com?bined with the SVM intelligent classification algorithm,it can realize fault classification and identification for transmis?sion lines. A large number of simulation experiments were conducted using Matlab,and results showed that this fault classification method was simple,fast,and it was not easy to be affected by such factors as fault location,fault inception angles,or transition resistance;it had satisfying adaptability and an accuracy of fault classification as high as 99.75%.关键词
电流振幅/支持向量机/滤波/信号截取/故障分类Key words
current amplitude/support vector machine(SVM)/filter/signal interception/fault classification分类
信息技术与安全科学引用本文复制引用
费春国,霍洪双..基于电流振幅与SVM的输电线路故障分类[J].电力系统及其自动化学报,2019,31(4):139-144,6.
