Bispectral Wavelet Time-Frequency Analysis for The Detection of Field Winding Faults in Synchronous Motors

This study presents a comparative analysis of stray flux, rotor current and stator current signals to identify field winding faults in synchronous motors, employing an advanced combination of high-order spectral analysis and time-frequency wavelet techniques. The work proposes a time-frequency analysis framework using Wavelet transforms in the bispectral domain, which is applied under various operating regimes of the motor (under starting and steady-state). The results of this research are promising and demonstrate the potential for seamless integration of these diagnostic techniques into electrical machine condition monitoring systems. This approach improves the accuracy of fault detection in synchronous motors and can contribute to the improvement of maintenance strategies in autonomous systems in industrial applications.