Research Article
Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network
Table 5
Energy analysis results of P4, P7, and P13 frequency bands of AE signal.
| Frequency band | Mean and range | Experimental factors | Degrees of wear | Spindle speed | Feed rate | Cutting depth |
| P4 | Mean 1 | 1051.9 | 732.2 | 1821.5 | 1281.7 | Mean 2 | 1182.8 | 1159.8 | 1607.2 | 1754.3 | Mean 3 | 2157.1 | 2007.4 | 1306.6 | 1062.3 | Mean 4 | 1116.6 | 2164.9 | 1252.9 | 1618.9 | Range | 1105.2 | 1432.7 | 568.6 | 692 |
| P7 | Mean 1 | 372.3 | 138.6 | 439.5 | 376.7 | Mean 2 | 331.4 | 250.9 | 499 | 432.3 | Mean 3 | 484.3 | 493.7 | 397 | 434.1 | Mean 4 | 489.3 | 794.1 | 341.7 | 434.2 | Range | 157.9 | 655.5 | 157.3 | 57.5 |
| P13 | Mean 1 | 309.1 | 117.7 | 383.4 | 316.3 | Mean 2 | 255.8 | 209.1 | 422.5 | 354.5 | Mean 3 | 404.1 | 417.1 | 325.7 | 382.1 | Mean 4 | 445.0 | 670 | 282.4 | 361.1 | Range | 189.2 | 552.3 | 140.1 | 65.8 |
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