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http://archives.univ-biskra.dz/handle/123456789/2554
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DC Field | Value | Language |
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dc.contributor.author | Ridha Kechida | - |
dc.contributor.author | Arezki Menacer | - |
dc.contributor.author | Abdelhamid Benakcha | - |
dc.date.accessioned | 2014-05-12T04:14:58Z | - |
dc.date.available | 2014-05-12T04:14:58Z | - |
dc.date.issued | 2014-05-12 | - |
dc.identifier.uri | http://archives.univ-biskra.dz/handle/123456789/2554 | - |
dc.description.abstract | The 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.iso | en | en_US |
dc.subject | Rotor faults, diagnosis, induction motor, DTC, stator current spectrum. | en_US |
dc.title | Fault Detection of Broken Rotor Bars Using Stator Current Spectrum for the Direct Torque Control Induction Motor | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications Internationales |
Files in This Item:
File | Description | Size | Format | |
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PI_09 Ridha Kechida.pdf | 842,1 kB | Adobe PDF | View/Open |
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