DAC-FCF combines conditional GAN data augmentation, contrastive learning, and 1D Fourier convolution to report large accuracy gains in bearing fault diagnosis when only 20 to 200 labeled samples per class are available.
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An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
DAC-FCF combines conditional GAN data augmentation, contrastive learning, and 1D Fourier convolution to report large accuracy gains in bearing fault diagnosis when only 20 to 200 labeled samples per class are available.