Computer System for Electric Drives Fault Diagnosis of Mining Shovels

DOI

10.2991/coal-16.2016.52How to use a DOI?

Keywords

electric drive; DC motor; diagnosis; dynamic identification; estimation; predictor; artificial neural network.

Abstract

It is proposed to conduct fault diagnostic test on electric drives of mining shovels based on the results of monitoring the current values of electromagnetic and mechanical parameters and variables of electric drives obtained in the course of their operation using the modern computer technology. The structure of the developed system of functional diagnostics, allowing to monitor the status of the drive and identify emerging fault is shown in the paper. To determine in real time the current parameters and variables of DC motor which can't be measured during their operation, the dynamic identification was used based on the measured current and voltage of the motor windings, and mathematical estimation methods. Parameters of the mechanical subsystem of electric drive are identified by a mobile measuring system. The authors also give the structure and characteristics of the one-step neural network predictor of current, used to predict the current values in the armature and field windings of motor. The analysis of the technical state of the electric drive by a set of attributes is performed in a special analyzer, built on the basis of pre-trained artificial neural network. The results of these studies support the possibility of creating a diagnostic system for the main electric drives of mining shovels using the estimation methods and apparatus of artificial neural networks.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Veniamin Kashirskikh
AU  - Andrey Gargayev
AU  - Valeriy Zavyalov
AU  - Irina Semykina
PY  - 2016/10
DA  - 2016/10
TI  - Computer System for Electric Drives Fault Diagnosis of Mining Shovels
BT  - Proceedings of the 8th Russian-Chinese Symposium “Coal in the 21st Century: Mining, Processing, Safety"
PB  - Atlantis Press
SP  - 273
EP  - 278
SN  - 2352-5401
UR  - https://doi.org/10.2991/coal-16.2016.52
DO  - 10.2991/coal-16.2016.52
ID  - Kashirskikh2016/10
ER  -