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 bandMean and rangeExperimental factors
Degrees of wearSpindle speedFeed rateCutting depth

P2Mean 16.9721.0714.9712.47
Mean 211.9713.6315.4618.54
Mean 312.0913.8414.6416.45
Mean 431.9314.4317.915.51
Range24.967.443.266.07

P4Mean 17.6633.0818.1420.67
Mean 213.3822.8315.8428.32
Mean 316.3313.8424.1220.92
Mean 449.5417.1628.8217.00
Range41.8819.2412.9811.32

P7Mean 16.4622.5410.2910.15
Mean 210.2811.918.4219.37
Mean 311.367.9213.1512.07
Mean 425.0510.7721.2911.55
Range18.5914.6212.879.22