Cart (Loading....) | Create Account
Close category search window

Detection and Classification of Power Quality Disturbances Based on Wavelet Packet Decomposition and Support Vector Machines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Weiming Tong ; Dept. of Electr. Eng., Harbin Normal Univ. ; Xuelei Song ; Jingbo Lin ; Zhiheng Zhao

This paper proposes a novel method based on wavelet packet decomposition and support vector machines for detection and classification of power quality disturbances. Wavelet packet decomposition is mainly used to extract features of power quality disturbances; and support vector machines are mainly used to construct a multi-class classifier which can classify power quality disturbances according to the extracted features. The topology structure of the proposed method and the multi-class support vector machine classification tree are both shown in this paper. Results of simulation and analysis demonstrate that the proposed method can achieve higher correct identification rate, better convergence property and less training time compared with the method based on artificial neural network. Therefore, through this method power quality disturbances can be detected and classified effectively, accurately and reliably

Published in:

Signal Processing, 2006 8th International Conference on  (Volume:4 )

Date of Conference:

16-20 2006

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.