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Tool wear status classification_
| Tool wear [mm] | Tool wear status | Time [min] |
|---|---|---|
| [0, 0.0675) | Initial wear | [0, 9) |
| [0.0675, 0.245) | Normal wear | [9, 23.5) |
| [0.245, +∞) | Severe wear | [23.5, 29] |
Comparison of experimental results with other models_
| Models | Accuracy [%] | Recall [%] | Precision [%] | F1 score [%] | |
|---|---|---|---|---|---|
| CNN–SVM[5] | Initial wear | -- | 90.9 | 83.3 | 87.0 |
| Normal wear | -- | 86.8 | 93.9 | 90.2 | |
| Severe wear | -- | 100.0 | 95.5 | 97.7 | |
| Average | 90.6 | 92.6 | 90.9 | 91.6 | |
| Transformer[6] | Initial wear | -- | 78.8 | 76.4 | 77.6 |
| Normal wear | -- | 84.9 | 86.5 | 85.7 | |
| Severe wear | -- | 100.0 | 100.0 | 100.0 | |
| Average | 86.0 | 87.9 | 87.7 | 87.8 | |
| ResNet | Initial wear | -- | 78.8 | 83.8 | 81.3 |
| Normal wear | -- | 90.6 | 87.3 | 88.9 | |
| Severe wear | -- | 100.0 | 100.0 | 100.0 | |
| Average | 88.8 | 89.8 | 90.4 | 90.0 | |
| Multi-scale ResNet | Initial wear | -- | 90.0 | 87.1 | 88.5 |
| Normal wear | -- | 92.4 | 94.2 | 93.3 | |
| Severe wear | -- | 100.0 | 100.0 | 100.0 | |
| Average | 93.3 | 94.2 | 93.8 | 94.0 |