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Adel Ghoggal
University of Biskra
Electrical & Electronics Engineering

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Experimental and simulation investigation for rotor bar fault diagnosis in closed-loop induction motors drives Seddik Tabet; Adel Ghoggal; Hubert Razik; Ishaq Amrani; Salah Eddine Zouzou
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.4833

Abstract

This research presents a comparative analysis of two broken rotor bar (BRB) fault identification techniques for closed-loop induction motors (IMs). Both motor current signal analysis and Hilbert transform (HT) rely on spectrum analysis by means of fast fourier transform (FFT). Both approaches have shown their ability to identify BRBs under varying loads. In contrast, the HT is deemed more efficient than the motor current signature analysis (MCSA) approach when the motor is working without load. To maintain a high-performance speed control and to compensate for BRBs effect on the mechanical speed, the approach of control used is direct torque control (DTC). Utilizing a real-time implementation in MATLAB/Simulink with the real-time interface (RTI) based on the dSPACE 1104 board, the efficacy of the two techniques was evaluated.
Co-Authors Hubert Razik Ishaq Amrani Salah Eddine Zouzou Seddik Tabet