Research Article
Tool Wear Monitoring Algorithm Based on SWT-DCNN and SST-DCNN
Table 2
Comparative analysis of recognition accuracy results.
| | Method | Recognition accuracy (%) | | Training set | Verification set | Test set |
| | SWT-DCNN | 99.98 | 99.96 | 99.95 | | SST-DCNN | 99.92 | 99.86 | 99.93 | | STFT-DCNN | 99.82 | 99.78 | 99.89 | | CWT-DCNN | 99.9 | 99.81 | 99.91 |
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