APPLICATION OF WAVELET – NEURAL METHOD TO DETECT BACKLASH ZONE IN ELECTROMECHANICAL SYSTEMS GENERATING NOISES

APPLICATION OF WAVELET – NEURAL METHOD TO DETECT BACKLASH ZONE IN ELECTROMECHANICAL SYSTEMS GENERATING NOISES

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 gradua...

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Bibliographic Details
Main Authors: Marcin TOMCZYK, Anna PLICHTA, Mariusz MIKULSKI
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2019-12-01
Series:Applied Computer Science
Subjects:
induction motor
wavelet transformation
backlash zone
neural networks
Online Access:http://acs.pollub.pl/pdf/v15n4/8.pdf
Description
Summary: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.
ISSN:1895-3735
2353-6977

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