Research Article
Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis
Table 2
Experimental data description.
| Dataset | Condition description | Samples | Operation conditions |
| A | Loc | N | IF | IF | IF | BF | BF | BF | OF | OF | OF | 10 × 150 | 0HP (1797 rpm) | Size | 0 | 7 | 14 | 21 | 7 | 14 | 21 | 7 | 14 | 21 | B | Loc | N | IF | IF | IF | BF | BF | BF | OF | OF | OF | 10 × 150 | 1HP (1772 rpm) | Size | 0 | 7 | 14 | 21 | 7 | 14 | 21 | 7 | 14 | 21 | C | Loc | N | IF | IF | IF | BF | BF | BF | OF | OF | OF | 10 × 150 | 2HP (1750 rpm) | Size | 0 | 7 | 14 | 21 | 7 | 14 | 21 | 7 | 14 | 21 | D | Loc | N | IF | IF | IF | BF | BF | BF | OF | OF | OF | 10 × 150 | 3HP (1730 rpm) | Size | 0 | 7 | 14 | 21 | 7 | 14 | 21 | 7 | 14 | 21 |
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