A Wavelet Transform and self-supervised learning-based framework for bearing fault diagnosis with limited labeled data

Yuhong Jin, Lei Hou, Ming Du +1

Traditional supervised bearing fault diagnosis methods rely on massive labelled data, yet annotations may be very time-consuming or infeasible. The fault diagnosis approach that ut…