Fault Diagnosis of Commutation Failures in the HVDC System Based on Wavelet Singular Value and Support Vector Machine

Author

Gao, Cailiang ; Liao, Zhiwei ; Huang, Shaoxian

Author_Institution

South China Univ. of Technol., Guangzhou

fYear

2009

fDate

27-31 March 2009

Firstpage

1

Lastpage

4

Abstract

The paper based on the singular value decomposition and support vector machines, a new fault diagnosis of commutation failures method in HVDC system was proposed. The coefficient matrix acquired from wavelet package transform is first decomposed on singular value, by which fault current are mapped to different time-frequency sub-space. Then the singular value is put into support vector machines to carry out the SVM training and fault type identification. The new method in this paper has high recognition rate, identification speed and stability. It can solve the fault type classification well.

Keywords

HVDC power transmission; commutation; fault location; power transmission faults; singular value decomposition; support vector machines; wavelet transforms; HVDC system; coefficient matrix; commutation failures; fault current; fault diagnosis; fault identification; recognition rate; singular value decomposition; support vector machine; time-frequency subspace; wavelet package transform; wavelet singular value; Commutation; Fault currents; Fault diagnosis; HVDC transmission; Matrix decomposition; Packaging machines; Singular value decomposition; Support vector machine classification; Support vector machines; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2486-3

Electronic_ISBN

978-1-4244-2487-0

Type

conf

DOI

10.1109/APPEEC.2009.4918374

Filename

4918374