Research Article
Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network
Table 4
Energy analysis results of P2, P4, and P7 frequency bands of vibration signal (×105).
| Frequency band | Mean and range | Experimental factors | Degrees of wear | Spindle speed | Feed rate | Cutting depth |
| P2 | Mean 1 | 6.97 | 21.07 | 14.97 | 12.47 | Mean 2 | 11.97 | 13.63 | 15.46 | 18.54 | Mean 3 | 12.09 | 13.84 | 14.64 | 16.45 | Mean 4 | 31.93 | 14.43 | 17.9 | 15.51 | Range | 24.96 | 7.44 | 3.26 | 6.07 |
| P4 | Mean 1 | 7.66 | 33.08 | 18.14 | 20.67 | Mean 2 | 13.38 | 22.83 | 15.84 | 28.32 | Mean 3 | 16.33 | 13.84 | 24.12 | 20.92 | Mean 4 | 49.54 | 17.16 | 28.82 | 17.00 | Range | 41.88 | 19.24 | 12.98 | 11.32 |
| P7 | Mean 1 | 6.46 | 22.54 | 10.29 | 10.15 | Mean 2 | 10.28 | 11.91 | 8.42 | 19.37 | Mean 3 | 11.36 | 7.92 | 13.15 | 12.07 | Mean 4 | 25.05 | 10.77 | 21.29 | 11.55 | Range | 18.59 | 14.62 | 12.87 | 9.22 |
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