Computer System for Electric Drives Fault Diagnosis of Mining Shovels
Veniamin Kashirskikh, Andrey Gargayev, Valeriy Zavyalov, Irina Semykina
Available Online October 2016.
- https://doi.org/10.2991/coal-16.2016.52How to use a DOI?
- electric drive; DC motor; diagnosis; dynamic identification; estimation; predictor; artificial neural network.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/coal-16.2016.52 ID - Kashirskikh2016/10 ER -