By Topic

Classification and identification of over-voltage based on HHT and SVM

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)
Jing Wang ; State Key Lab. of Power Transm. Equip. & Syst. Safety & New Technol., Chongqing Univ., Chongqing, China ; Wenxia Sima ; Qing Yang ; Tao Yuan

This paper introduces the Hilbert-Huang transform method which is composed of Empirical Mode Decomposition (EMD) and Hilbert Transform. Seven kinds of common power system over-voltages are analyzed by HHT, results show that the instantaneous amplitude spectrum, Hilbert marginal spectrum, Hilbert time-frequency spectrum can be used as characteristic parameters for different types of over-voltage classification and identification. A hierarchical recognition system is built based on HHT and SVM, and the system is tested by field over-voltage signals. The results show that this system is effective to classify and recognize the over-voltage signal with a high recognition rate.

Published in:

High Voltage Engineering and Application (ICHVE), 2010 International Conference on

Date of Conference:

11-14 Oct. 2010