文档介绍：第 33 卷第 28 期中国电机工程学报 , 2013 114 2013 年 10 月 5 日 Proceedings of the CSEE ?2013 . 文章编号: 0258-8013 (2013) 28-0114-07 中图分类号: TM 71 文献标志码: A 学科分类号: 470·40 基于多标签 Rank-WSVM 的复合电能质量扰动分类张巧革,刘志刚,朱玲,张杨( 西南交通大学电气工程学院,四川省成都市 610031) Recognition of Multiple Power Quality Disturbances Using Multi-label Wavelet Support Vector Machine ZHANG Qiaoge, LIU Zhigang, ZHU Ling, ZHANG Yang (School of Electrical Engineering, Southwest Jiaot ong University, Chengdu 610031, Sichuan Province, China) ABSTRACT: Multi-label rank wavelet support vector machine (Rank-WSVM) is proposed and applied to the recognition of multiple power quality disturbances in this paper. By applying the wavelet technique to Rank-SVM classifier the efficiency is improved. Firstly, all of mon power quality disturbances and pound ones are posed by discrete wavelet transform, and the Tsallis entropy of the wavelet coefficients are extracted as eigenvectors. And then, the type of multiple power qua lity disturbances is predicted through the Rank-WSVM. The simulation results show that Rank-WSVM proposed in this pa per can effectively recognize the multiple power quality disturbances including voltage sag, voltage swell, voltage interr uption, impulsive transient, oscillation transient, harmonics, flicker and pou