IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD
Journal Title: Applied Computer Science - Year 2018, Vol 14, Issue 4
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.
Authors and Affiliations
Marcin TOMCZYK, Barbara BOROWIK, Mariusz MIKULSKI
Keywords
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- EP ID EP558471
- DOI 10.23743/acs-2018-29
- Views 56
- Downloads 0
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