IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD
Marcin TOMCZYK
tomczykmarcin@poczta.fmElectrical School No. 1 in Krakow them. Silesian Insurgents, Kamieńskiego 49 Street, 30-644 Kraków (Poland)
Barbara BOROWIK
Cracow Univeristy of Technology, Faculty of Physics, Mathematics and Computer Science, Institute of Computer Science, Warszawska 24 Street, 31-155 Kraków, P (Poland)
Mariusz MIKULSKI
State University of Applied Sciences in Nowy Sącz, Institute of Technology, Zamenhofa 1a Street, 33-300 Nowy Sącz, (Poland)
Abstract
In this article a new method of identification of a backlash zone width in a structure of an electromechanical system has been presented. The results of many simulations in a tested model of a complex electromechanical system have been taken while changing a value of a reduced masses inertia moment on a shaft of an induction motor drive. A wavelet analysis of tested signals and analysis of weights that have been obtained during a neural network supervised learning - have been applied in a diagnostic algorithm. The proposed algorithm of detection of backlash zone width, represents effective diagnostic method of a system at changing dynamic conditions, occurring also as a result of mass inertia moment changes.
Keywords:
inertia moment, induction motor, wavelet transformation, backlash zone, neural network weightsReferences
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Authors
Marcin TOMCZYKtomczykmarcin@poczta.fm
Electrical School No. 1 in Krakow them. Silesian Insurgents, Kamieńskiego 49 Street, 30-644 Kraków Poland
Authors
Barbara BOROWIKCracow Univeristy of Technology, Faculty of Physics, Mathematics and Computer Science, Institute of Computer Science, Warszawska 24 Street, 31-155 Kraków, P Poland
Authors
Mariusz MIKULSKIState University of Applied Sciences in Nowy Sącz, Institute of Technology, Zamenhofa 1a Street, 33-300 Nowy Sącz, Poland
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