Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/2554
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dc.contributor.authorRidha Kechida-
dc.contributor.authorArezki Menacer-
dc.contributor.authorAbdelhamid Benakcha-
dc.date.accessioned2014-05-12T04:14:58Z-
dc.date.available2014-05-12T04:14:58Z-
dc.date.issued2014-05-12-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/2554-
dc.description.abstractThe numerous qualities of squirrel cage induction machines enhance their use in industry. However, various faults can occur, such as stator short-circuits and rotor failures. In this paper, we use a technique based on the spectral analysis of stator current in order to detect the fault in the machine: broken rotor bars. Thus, the number effect of the breaks has been highlighted. The effect is highlighted by considering the machine controlled by the Direct Torque Control (DTC). The key to fault detection is the development of a simplified dynamic model of a squirrel cage induction motor taking account the broken bars fault and the stator current spectrum analysis (FFT).en_US
dc.language.isoenen_US
dc.subjectRotor faults, diagnosis, induction motor, DTC, stator current spectrum.en_US
dc.titleFault Detection of Broken Rotor Bars Using Stator Current Spectrum for the Direct Torque Control Induction Motoren_US
dc.typeArticleen_US
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