Issue |
E3S Web Conf.
Volume 434, 2023
4th International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2023)
|
|
---|---|---|
Article Number | 01017 | |
Number of page(s) | 6 | |
Section | Energetics | |
DOI | https://doi.org/10.1051/e3sconf/202343401017 | |
Published online | 12 October 2023 |
Exploration of the combined vibration parameters and external magnetic field in diagnosing asynchronous electric motors
1 Department Electrical Technology and Using of Electrical Equipment, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 100000 Tashkent, Uzbekistan
2 Department of Electrical Engineering, Karshi Engineering and Economics Institute, 180100 Karshi, Uzbekistan
* Corresponding author: uzigabek1920@mail.ru
This paper presents the results of the development and application of a software-hardware complex for assessing the vibration level and external magnetic field intensity of asynchronous electric motors with the aim of diagnosing emerging defects. The issues of increasing the reliability and durability of asynchronous electric motors, as the most critical components in technological equipment complexes, are of utmost importance. Theoretical calculations describing the relationship between changes in the intensity of the external magnetic field and the presence of defects in asynchronous electric motors were conducted. Experimental measurements were performed using a compact portable device developed by the authors, equipped with a built-in Hall sensor. Experiments to determine the parameters of the external magnetic field were conducted on several types of electric motors, for which preliminary vibration measurements were conducted. Based on the results of vibration analysis and the distribution of the external magnetic field of the motor, a detailed list of defects detectable using this comprehensive diagnostic method has been compiled.
© 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.