Bearing fault detection with vibration and acoustic signals: Comparison among different machine leaning classification methods

Despite the recent advances in supervised ML-based methods for fault bearing detection is that most published work uses only vibration data for damage detection. However, depending on the type of bearing failure and the frequencies of the signals, the combination of non-invasive techniques such as vibration signals and acoustic signals can be an alternative to increase the precision when detecting a failure. In this research, simulated faults...