- Only choose stable data. Data with significant shakes will be dropped.
| Dataset | Element | Good (Normal) Starts at | Fault Starts at |
|---|---|---|---|
| Bearing 2_1 37.5 | Inner | 1-452 | 454-484 |
| Bearing 2_2 | Outer | 1-50 | 51-159 |
| Bearing 2_4 | Outer | 1-30 | 31-40 |
| Bearing 2_5 | Outer | 1-120 | 121-337 |
| Bearing 3_1 40Hz | Outer | 1-2463 | 2464-2536 |
| Bearing 3_3 | Inner | 1-340 | 341-369 |
| Bearing 3_4 | Inner | 1-1416 | 1417-1514 |
| Bearing 3_5 | Outer | 1-10 | 11-110 |
Purposed two different types of Unsupervised Domain Adaptation in adversarial manners, and applied pseudo label semi-supervised learning strategy. The two different types of models are compared and analyzed.