Experimental and simulation investigation for rotor bar fault diagnosis in closed-loop induction motors drives

Seddik Tabet (University of Biskra)
Adel Ghoggal (University of Biskra)
Hubert Razik (University of Lyon)
Ishaq Amrani (University of Biskra)
Salah Eddine Zouzou (University of Biskra)

Bulletin of Electrical Engineering and Informatics
Vol 12, No 4: August 2023

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.