Aleksei Petrov, Anton Rassõlkin, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Igor Plokhov

##manager.scheduler.building##: Atbrivosanas aleja 115, k-4 (Faculty of Engineering) Room 105
Last modified: 01.06.2017


Due to importance of squirrel cage induction motor in today’s industry, the fault detection on that type of motors has become a highly developed area of interest for researchers. The electrical machine is designed for stable operations with minimum noise and vibrations under the normal conditions. When the fault emerges, some additional distortions appear. The necessity to detect the fault in an early stage, to prevent further damage of the equipment due to fault propagation, is one of the most important features of any condition monitoring or diagnostic techniques for electrical machines nowadays. In this paper possible induction motors faults classified and basic algorithm for rotor faults pre-determination is presented.


Electric machines; modeling; equivalent circuits; fault diagnosis


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