A new approach for real-time tool dedicated to the detection of broken bar fault in induction motor

The diagnostic methods for electrical motors developed during the last decades based on the FFT and DFT signal-processing algorithms do not have the capability to handle and identify the dynamic changes in the magnitude of the default signature components. The authors in this paper focus on the use of new approach for real-time tool dedicated to the detection of broken bar fault in induction motor, this approach based on sliding DFT window allows the monitoring the broken bar faults using the induced oscillation in the magnitude of the some harmonic components in the stator current. Simulation and experimental results show the effectiveness of the proposed approach.