Issue |
E3S Web Conf.
Volume 105, 2019
IVth International Innovative Mining Symposium
|
|
---|---|---|
Article Number | 03023 | |
Number of page(s) | 8 | |
Section | Innovations in Mining Machinery | |
DOI | https://doi.org/10.1051/e3sconf/201910503023 | |
Published online | 21 June 2019 |
The Computer System for Monitoring of Induction Motors Condition of Mining Machinery
1
T.F. Gorbachev Kuzbass State Technical University, Department of Electric Drive and Automation, 650000, Kemerovo, Russia
2
National Research Tomsk Polytechnic University, Department of Electric Drive and Automation, 634050, Tomsk, Russia
* Corresponding author : kvg.ea@kuzstu.ru
The possibility of carrying out monitoring of parameters and variables of the induction electric motor (IM) working as a part of the electric mining machinery drive is considered. Monitoring is carried out on the working inventory in real time by means of the computer system on the basis of the IM mathematical model, mathematical estimation methods and also information which is contained in easily measured phase tension and IM stator currents. As a result IM indicators are defined difficult or cannot be measured in the mining machinery operation course. These are the active and induced windings resistances of a stator and a rotor, a magnetic linkage, an angular frequency of a rotor rotation and the electromagnetic moment. Algorithms of dynamic IM identification and the software are developed for carrying out monitoring. Theoretical provisions and conclusions are confirmed with results of the pilot studies. Information received during monitoring can be used for perfecting of the electric drive.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.