Research Article
Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty
Table 2
Description of the unbalanced Dataset C.
| Health condition | The percent of training samples | The percent of testing samples | Dataset C | Dataset C |
| NC | 250 | 250 | IF1 | 150 | 250 | IF2 | 150 | 250 | IF3 | 150 | 250 | OF1 | 100 | 250 | OF2 | 100 | 250 | OF3 | 100 | 250 | RF1 | 50 | 250 | RF2 | 50 | 250 | RF3 | 50 | 250 |
|
|