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Exploration of the combined vibration parameters and external magnetic field in diagnosing asynchronous electric motors

Matkarim IbragimovDepartment Electrical Technology and Using of Electrical Equipment, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 100000 Tashkent, UzbekistanDilmurod AkbarovDepartment Electrical Technology and Using of Electrical Equipment, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 100000 Tashkent, UzbekistanTajiddin ToshevDepartment of Electrical Engineering, Karshi Engineering and Economics Institute, 180100 Karshi, UzbekistanKholiyor Sayyid SafarovDepartment of Electrical Engineering, Karshi Engineering and Economics Institute, 180100 Karshi, UzbekistanOliyaxon ZayniyevaDepartment of Electrical Engineering, Karshi Engineering and Economics Institute, 180100 Karshi, Uzbekistan
E3S Web of Conferencesjournal2023en
ABI

Abstract

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.

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