电工技术学报2011，Vol.26Issue(10)：23-30,8.
基于S变换与SVM的电能质量复合扰动识别
Identification of Power Quality Complex Disturbances Based on S-Transform and SVM
摘要
Abstract
This paper presents a new approach based on S-transform and support vector machine（SVM） for identification of power quality complex disturbances.Firstly,original power quality signals are processed by S-transform and features were extracted from the result of S-transform at different frequency areas.Then,2 types of most distinguished feature are selected by statistic feature selection.The selected features are used as the input vector of SVM and to train a SVM based classifier for power quality disturbances recognition.Furthermore,the SVM classifier is used to classify the short-time power quality disturbances.The proposed method reduces the computing costs of feature calculation,meanwhile saves the time of training and classification.8 types of power quality disturbances including 2 types of complex disturbances are accurate identified.The simulation results show the validity of this method.关键词
电能质量扰动/扰动识别/S变换/支持向量机/特征选择Key words
Power quality disturbances/disturbance recognition/S-transform/support vector machine/feature selection分类
信息技术与安全科学引用本文复制引用
黄南天,徐殿国,刘晓胜..基于S变换与SVM的电能质量复合扰动识别[J].电工技术学报,2011,26(10):23-30,8.基金项目
国家自然科学基金 （）
吉林省教育厅“十二五”科学技术研究（吉教科合字[2011]第262号）资助项目 （）
