DocumentCode
534940
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
Volume
1
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
121
Lastpage
124
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643877
Filename
5643877
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