Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis |
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Authors: | Hicham Talhaoui Arezki Menacer Abdelhalim Kessal Ridha Kechida |
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Affiliation: | 1. LGEB Laboratory, University of Biskra, Algeria;2. University of Bordj Bou Arreridj, Algeria;3. University of El-Oued, Algeria |
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Abstract: | This paper presents new techniques to evaluate faults in case of broken rotor bars of induction motors. Procedures are applied with closed-loop control. Electrical and mechanical variables are treated using fast Fourier transform (FFT), and discrete wavelet transform (DWT) at start-up and steady state. The wavelet transform has proven to be an excellent mathematical tool for the detection of the faults particularly broken rotor bars type. As a performance, DWT can provide a local representation of the non-stationary current signals for the healthy machine and with fault. For sensorless control, a Luenberger observer is applied; the estimation rotor speed is analyzed; the effect of the faults in the speed pulsation is compensated; a quadratic current appears and used for fault detection. |
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Keywords: | Induction motor Fault diagnosis Broken rotor bars Discrete wavelet analysis Fast Fourier transforms Sensorless Luenberger observer Sensoless vector control |
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