APPLICATION OF IMAGE ANALYSIS TO THE IDENTIFICATION OF MASS INERTIA MOMENTUM IN ELECTROMECHANICAL SYSTEM WITH CHANGEABLE BACKLASH ZONE
Marcin TOMCZYK
tomczykmarcin@poczta.fm* Electrical School No. 1 in Krakow them. Silesian Insurgents, Kamieńskiego 49, 30-644 Kraków (Poland)
Anna PLICHTA
Cracow Univeristy of Technology, Faculty of Physics, Mathematics and Computer Science, Institute of Computer Science, Warszawska 24, 31-155 Kraków (Poland)
Mariusz MIKULSKI
State University of Applied Sciences in Nowy Sącz, Institute of Technology, Zamenhofa 1a, 33-300 Nowy Sącz (Poland)
Abstract
This paper presents a new method of identification of inertia moment of reduced masses on a shaft of an induction motor drive being a part of an electromechanical system. The study shows the results of simulations performed on the tested model of a complex electromechanical system during some changes of a backlash zone width. An analysis of wavelet scalograms of the examined signals carried out using a clustering technique was applied in the diagnostic algorithm. The correctness of the earliest fault detection has been verified during monitoring and identification of mass inertia moment for state variables describing physical quantities of a tested complex of the electromechanical system.
Keywords:
inertia moment, induction motor, wavelet transformation, backlash zone, membership functionReferences
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Authors
Marcin TOMCZYKtomczykmarcin@poczta.fm
* Electrical School No. 1 in Krakow them. Silesian Insurgents, Kamieńskiego 49, 30-644 Kraków Poland
Authors
Anna PLICHTACracow Univeristy of Technology, Faculty of Physics, Mathematics and Computer Science, Institute of Computer Science, Warszawska 24, 31-155 Kraków Poland
Authors
Mariusz MIKULSKIState University of Applied Sciences in Nowy Sącz, Institute of Technology, Zamenhofa 1a, 33-300 Nowy Sącz Poland
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