A robust ATUB-Net for bearing fault diagnosis under unbalanced sample scenarios
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In order to achieve outstanding fault diagnosis classification performance, most deep learning-based intelligent fault diagnosis methods require a large number of labeled samples for training. However, collecting sufficient labeled fault samples in practice is... ...
