This study introduces innovative deep learning techniques to convert flash images into ambient images, with a particular focus on style transfer methods. A novel approach employing CycleGAN for ...

This study proposes a dynamic model-driven 1-D Cycle-GAN (CycleGAN-MC) for rolling bearing fault diagnosis. Experimental results demonstrate that the proposed method can address the data imbalance ...