TY  - JOUR
T1  - Diagnostic and Detection Rotor Faults in Induction Machines
AU - , T. Bahi AU - , D. Bouneb AU - , A. Ourici AU - , G. Barakat 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 9
SP  - 981
EP  - 985
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.981.985
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.981.985
KW  - Induction motors
KW  -diagnosis
KW  -diagnosis
KW  -modelling
AB  - 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<I> </I>and other spectral components. Simulation test results show agreement between the healthy and faults machine.
ER  -