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Asian Journal of Information Technology

ISSN: Online 1993-5994
ISSN: Print 1682-3915
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Diagnostic and Detection Rotor Faults in Induction Machines

T. Bahi , D. Bouneb , A. Ourici and G. Barakat
Page: 981-985 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

In this study, authors gives a monitoring technique of broken rotor bar and ring detection of squirrel cage induction motors. For diagnosis, we proposed model of squirrel cage induction motors under rotor faults where the machine inductances are calculated by means of the magnetic energy stored in the air gap. Diagnostic information is found in the spectrum of stator current. The current waveforms is analysed using Fast Fourier Transform (FFT). The rotor fault is manifested as an increase in the amplitude of the 2sf and other spectral components. Simulation test results show agreement between the healthy and faults machine.


How to cite this article:

T. Bahi , D. Bouneb , A. Ourici and G. Barakat . Diagnostic and Detection Rotor Faults in Induction Machines.
DOI: https://doi.org/10.36478/ajit.2007.981.985
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2007.981.985