Classification of Power Quality Disturbances Using Wavelet Transform and K-Nearest Neighbor Classifier

被引：0

作者：

Ngo Minh Khoa ^{[1
]}

Dinh Thanh Viet ^{[1
]}

Nguyen Huu Hieu ^{[1
]}

机构：

[1] Quy Nhon Univ, Dept Tech & Technol, Quy Nhon, Vietnam

来源：

2013 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2013年

关键词：

Power quality; Wavelet transform; K-Nearest neighbor; Disturbance; Classification;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a new method to classify power quality disturbances using wavelet transform and K-nearest neighbor classifier. New features of power quality disturbances are extracted from discrete wavelet transform then using K-nearest neighbor classifier to classify these disturbances according to the features. Block diagram of the proposed method has been shown in this paper. Performance of the proposed method is trained and verified with power quality disturbances generated by Matlab software. The classification accuracy for these disturbances has been presented and shows that the proposed method is doing well in classifying these types of power quality disturbances.

引用

页数：4