fig9
![Rolling bearing fault diagnosis method based on 2D grayscale images and Wasserstein Generative Adversarial Nets under unbalanced sample condition](https://image.oaes.cc/94f446c6-cab2-4349-bbd6-ac81780531b9/ces3020.fig.9.jpg)
Figure 9. The frequency spectrum comparison between generated samples (red) and real samples (blue).
Figure 9. The frequency spectrum comparison between generated samples (red) and real samples (blue).
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