| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 06020 | |
| Number of page(s) | 5 | |
| Section | Agricultural Mechanization, Civil Engineering and Energetics | |
| DOI | https://doi.org/10.1051/e3sconf/202339006020 | |
| Published online | 01 June 2023 | |
The results of the production tests of the method for diagnosing the eccentricity of the rotor of an asynchronous electric motor
1 Irkutsk State Agricultural University named after A.A. Ezhevsky, Molodezhny settlement, Irkutsk distrikt, Irkutsk region, 664038, Russia
2 Moscow State Technical University named after N. E. Bauman, 5/1, 2 nd Baumanovskaya str., Moscow, 105005, Russia
* Corresponding author: a.prudnicov@mail.ru
Ensuring the reliability of electrical equipment in agriculture remains an urgent problem, since rugged operating conditions and aggressive environment hinder its rational use. The high accident incidence rate of asynchronous motors in most cases is invariably caused by the failure of the inter-turn insulation and interphase short circuit or short circuits to the housing. The probability of an emergency situation increases with an increase in the radial clearance in the bearings and, consequently, the occurrence of static eccentricity of the rotor. The developed method for diagnosing the static eccentricity of the rotor of an asynchronous motor is based on the analysis of the rotor speed; the amplitude of the rotor speed change was used as a diagnostic parameter. The paper presents the change in the rotation frequency depending on the difference in the amplitudes, resulted from the study conducted for different values of static eccentricity. The test results have shown that with an increase in the eccentricity of the rotor, the amplitude of the speed fluctuations increases.
© The Authors, published by EDP Sciences, 2023
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.
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.