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: Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively ...