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

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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

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