Title :
Application of SVM in fault diagnosis of power electronics rectifier
Author :
Wang, Rongjie ; Zhou, Haifeng
Author_Institution :
Sch. of Marine Eng., Jimei Univ., Xiamen
Abstract :
A method of fault diagnosis for power electronics rectifier based on PCA-SVM is adopted in this paper. First, the features of the fault was extracted by the method of principal component analysis (PCA), and an SVM algorithm was introduced to train the SVM for diagnosis. Experimental results show that the diagnostic method has very good diagnostic ability and efficiency, and have a good outreach capacity under small-sample. Thus, it has very good practical value and applicable prospect in the solution to fault question for power electronics rectifier.
Keywords :
fault diagnosis; feature extraction; power electronics; power engineering computing; principal component analysis; rectifying circuits; support vector machines; feature extraction; power electronics rectifier fault diagnosis; principal component analysis; support vector machine algorithm; Automation; Fault diagnosis; Intelligent control; Power electronics; Power engineering and energy; Principal component analysis; Rectifiers; Support vector machines; fault diagnosis; principal component analysis; support vector machine;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593104
