Title :
Application of time-frequency distribution and neural networks for fault classification in power electronics
Author :
Leonowicz, Zbigniew ; Lobos, Tadeusz
Author_Institution :
Dept. of Electr. Eng., Wroclaw Univ. of Technol., Poland
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.
Keywords :
Wigner distribution; fault location; frequency convertors; neural nets; power electronics; signal classification; signal representation; time-frequency analysis; Wigner Ville time frequency distribution; classifier; fault analysis; fault classification; fault detection; fault mode operations; frequency converters; industrial frequency converter; neural networks; power electronics; robustness; signal classification; time-frequency distribution; Fault detection; Frequency conversion; Intelligent networks; Neural networks; Noise robustness; Pattern classification; Performance analysis; Signal analysis; Signal resolution; Time frequency analysis;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7783-4
DOI :
10.1109/CIMSA.2003.1227204
