| Issue |
E3S Web Conf.
Volume 174, 2020
Vth International Innovative Mining Symposium
|
|
|---|---|---|
| Article Number | 03024 | |
| Number of page(s) | 11 | |
| Section | Innovations in Mining Machinery | |
| DOI | https://doi.org/10.1051/e3sconf/202017403024 | |
| Published online | 18 June 2020 | |
On the Issue of Increasing Reliability of Electric Mining Machinery
1 T.F. Gorbachev Kuzbass State Technical University, Department of Electric Drive and Automation, 650000, 28 Vesennyaya Street, Kemerovo, Russia
2 National Research Tomsk Polytechnic University, School of Energy & Power Engineering, 634050, 30 Lenin Avenue, Tomsk, Russia
3 Sevastopol State University, Institute of Nuclear Energy and Industry, 299053, 33 Universitetskaya Street, Sevastopol, Russia
* Corresponding author: kash.veniamin@gmail.com
The paper considers conditions of mining machinery electric drives operation and analyzes the causes of insufficient reliability. To improve the reliability and efficiency of induction motors the authors propose the computer system designed for dynamic identification of electric motors to monitor their parameters and variables, which are estimated on operating equipment in real time. Operation of the system allows calculating unmeasurable quantities and is based on the mathematical model of the induction motor as well as mathematical methods of estimation and the information contained in the measured phase voltages and currents of the stator. For dynamic mode the mathematical model of the motor’s state and the measurement part were developed and certain results were obtained. Real-time information can be used for both control and management of electric motors, function testing, protection, forecasting as well as acceptance testing of electric motors in mining machinery electric drives to identify their individual data and quality control of the industrial processes in the manufacture or repair of motors.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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