Abstract: Aiming at the poor transferability of bearing fault diagnosis models under variable operating conditions and the difficulty in acquiring labeled defective samples. In this article, a novel ...

Abstract: Machine learning models have been widely successful in the field of intelligent fault diagnosis. Most of the existing machine learning models are deployed in static environments and rely on ...