IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD
Marcin TOMCZYK
tomczykmarcin@poczta.fmElectrical School No. 1 in Krakow, Kamieńskiego 49, 30-644 Kraków (Poland)
Barbara BOROWIK
Cracow University of Technology, Warszawska 24, 31-155 Kraków (Poland)
Bohdan BOROWIK
The University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biała (Poland)
Abstract
This paper presents the results of testing of a complex electromechanical system model. These results have been obtained for accepted in simulations the method of identifying an inertia moment of reduced masses on shaft of induction motor drive during the changes of a backlash zone width. The effectiveness of correct diagnostic conclusions enables coefficients analysis of testing signals wavelet expansion as well as weights of a supervised learning neural network. The earlier fault detection of five important state variables, which describe physical quantities of chosen complex electromechanical system has been verified for its correctness during the backlash zone width monitoring in the early stage of its gradual rise. The proposed here algorithm with mass inertia moment changes has proved to be an effective diagnostic method in the area of system changeable dynamic conditions and this has been shown in the resulting changes of backlash zone width.
Keywords:
induction motor, wavelet transformation, backlash zone, neural networksReferences
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Authors
Marcin TOMCZYKtomczykmarcin@poczta.fm
Electrical School No. 1 in Krakow, Kamieńskiego 49, 30-644 Kraków Poland
Authors
Barbara BOROWIKCracow University of Technology, Warszawska 24, 31-155 Kraków Poland
Authors
Bohdan BOROWIKThe University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biała Poland
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