Research Article
Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis
Table 1
Experimental sample data.
| Test number | Detection position | Damage diameter (mm) | Training/validation samples | Test sample |
| 1 | Inner | 0.3105 | 1,600/400 | 400 | 2 | Outer | 0.2987 | 1,600/400 | 400 | 3 | Roller | 0.4136 | 1,600/400 | 400 | 4 | Roller | 0.2254 | 1,600/400 | 400 | 5 | Normal | 0.0000 | 1,600/400 | 400 | 6 | Roller | 0.3512 | 1,600/400 | 400 | 7 | Inner | 0.3528 | 1,600/400 | 400 | 8 | Normal | 0.0000 | 1,600/400 | 400 | 9 | Outer | 0.2911 | 1,600/400 | 400 | 10 | Outer | 0.3019 | 1,600/400 | 400 |
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