In the world of industrial production, spotting problems in bearings is crucial. However, getting enough data to train models to spot these issues is often a challenge. Traditional deep learning models struggle when data is limited. This is where generative adversarial networks (GANs) come in. They can create more data to improve the performance of these models. But ...