APPLICATION OF WAVELET – NEURAL METHOD TO DETECT BACKLASH ZONE IN ELECTROMECHANICAL SYSTEMS GENERATING NOISES
Michał TOMCZYK
marcin.tomczyk@pk.edu.pl* Cracow Univeristy of Technology, Faculty of Electrical and Computer Engineering, Warszawska 24, 31-155 (Poland)
Anna PLICHTA
Cracow Univeristy of Technology, Faculty of Computer Science and Telecommunications, Chair of Computer Science, Warszawska 24, 31-155 Kraków (Poland)
Mariusz MIKULSKI
State Higher Vocational School in Nowy Sącz, Institute of Engineering,Zamenhofa 1a, 33-300 Nowy Sącz (Poland)
Abstract
This paper presents a method of identifying the width of backlash zone in an electromechanical system generating noises. The system load is a series of rectangular pulses of constant amplitude, generated at equal intervals. The need for identification of the backlash zone is associated with a gradual increase of its width during the drive operation. The study uses wavelet analysis of signals and analysis of neural network weights obtained from the processing without supervised learning. The time-frequency signal representations of accelerations of the mechanical load components were investigated.
Keywords:
nduction motor, wavelet transformation, backlash zone, neural networksReferences
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Authors
Michał TOMCZYKmarcin.tomczyk@pk.edu.pl
* Cracow Univeristy of Technology, Faculty of Electrical and Computer Engineering, Warszawska 24, 31-155 Poland
Authors
Anna PLICHTACracow Univeristy of Technology, Faculty of Computer Science and Telecommunications, Chair of Computer Science, Warszawska 24, 31-155 Kraków Poland
Authors
Mariusz MIKULSKIState Higher Vocational School in Nowy Sącz, Institute of Engineering,Zamenhofa 1a, 33-300 Nowy Sącz Poland
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