IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD

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DOI

Marcin TOMCZYK

tomczykmarcin@poczta.fm

Barbara BOROWIK

bborowik@pk.edu.pl

Mariusz MIKULSKI

mmikulsk1@poczta.onet.pl

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 weights

References

Article Details

TOMCZYK, M., BOROWIK, B., & MIKULSKI, M. (2018). IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD. Applied Computer Science, 14(4), 54–69. https://doi.org/10.23743/acs-2018-29