Title :
Fault diagnosis of power electronic based on multi-resolution analysis and support vector machine
Author :
Zhao, Jian-Jun ; Gu, Xiao-Guang ; Yu, Heng ; Wangyan
Author_Institution :
Inst. of Adv. Control & Intell. Inf. Process., Henan Univ., Kaifeng, China
Abstract :
The wavelet multi-resolution analysis (MRA) and support vector machine (SVM) are used in the fault diagnosis of power electronic. First, the paper use the wavelet MRA to deal with the characteristics of power electronic fault signal, and then identifies the fault diagnosis by the multi-class fault classifier based on SVM. The simulation results show the correctness and effectiveness of the method.
Keywords :
circuit testing; electronic engineering computing; fault diagnosis; power electronics; signal classification; signal resolution; support vector machines; wavelet transforms; fault diagnosis; multiclass fault classifier; power electronic fault signal; support vector machine; wavelet multiresolution analysis; Support vector machines;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643877
