Automatic Fault Classification in Power Electronics Using Time-Frequency Distribution and Neural Networks
Leonowicz, Z (Wroclaw University of Technology, Poland) ; Lobos, T (Wroclaw University of Technology, Poland)
/ ||RZ I07/2003/I-077 ||ENY-ARTICLE-2009-249|
Abstract: A new method of fault analysis and detection by signal classification in frequency converters is presented. The Wigner-Ville time frequency distribution is used to produce the representation of the signal and the probabilistic neural network as a classifier. The accuracy and robustness of the proposed method is investigated on signals obtained during the different fault mode operations of the industrial frequency converter.
Keyword(s): Fault diagnosis ; Neural Networks applications ; Power system faults ; Pulse width modulated power converters ; Time – frequency analysis ; Wigner distributions
Note: 12th Intelligent Systems Applications to Power Systems Conference, 31.08-3.09.2003, Lemnos, Greece.
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/310/files/
Cited by: try citation search for ENY-ARTICLE-2009-249; RZ I07/2003/I-077
Record created 2009-02-01, last modified 2009-02-01
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