Title :
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
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;
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
DOI :
10.1109/APPEEC.2009.4918374