ELECTRIC MOTOR DIAGNOSTICS OF SWITCHES BASED ON THE NEURAL NETWORK DATA MODELING THE SPECTRAL DECOMPOSITION OF THE CURRENTS

Authors

  • O. M. Shvets Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Ukraine

DOI:

https://doi.org/10.15802/stp2009/14096

Keywords:

diagnostics, neural network modeling, current, motor, turnout translation, spectral decomposition

Abstract

The method of automated diagnostics of electric motors is offered. It uses a neural network revealing the electric motor faults on the basis of analysis of frequency spectrum of current flowing through the motor.

Author Biography

O. M. Shvets, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

O. M. Shvets

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Published

2009-10-25

How to Cite

Shvets, O. M. (2009). ELECTRIC MOTOR DIAGNOSTICS OF SWITCHES BASED ON THE NEURAL NETWORK DATA MODELING THE SPECTRAL DECOMPOSITION OF THE CURRENTS. Science and Transport Progress, (29), 184–189. https://doi.org/10.15802/stp2009/14096

Issue

No. 29 (2009): ISSUE 29

Section

TRANSPORT AND ECONOMIC TASKS MODELING

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