title: Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis.
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.
authors.affiliation: LGEB Laboratory, University of Biskra, Algeria; University of Bordj Bou Arreridj, Algeria. Electronic address: h_Talhaoui@yahoo.fr.
authors.forename: Hicham
authors.initials: H
authors.lastname: Talhaoui
authors.affiliation: LGEB Laboratory, University of Biskra, Algeria.
authors.forename: Arezki
authors.initials: A
authors.lastname: Menacer
authors.affiliation: University of Bordj Bou Arreridj, Algeria.
authors.forename: Abdelhalim
authors.initials: A
authors.lastname: Kessal
authors.affiliation: LGEB Laboratory, University of Biskra, Algeria; University of El-Oued, Algeria.
authors.forename: Ridha
authors.initials: R
authors.lastname: Kechida
keywords: Broken rotor bars; Discrete wavelet analysis; Fast Fourier transforms; Fault diagnosis; Induction motor; Luenberger observer; Sensoless vector control; Sensorless