Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network

Table 3

Analysis result of experiment data.

Signal classification		Influence factors
		Degrees of wear	Spindle speed	Feed rate	Cutting depth
AE signal	Mean 1	1.8439	1.5698	2.9001	2.4444
	Mean 2	2.2128	2.2565	2.8866	2.9852
	Mean 3	3.7796	3.1019	2.6736	2.7258
	Mean 4	3.2159	4.1239	2.5918	2.8967
	Range	1.9357	2.5541	0.3083	0.5408
Vibration signal	Mean 1	0.1894	0.5432	0.3189	0.3127
	Mean 2	0.2779	0.3784	0.2624	0.4742
	Mean 3	0.3121	0.2488	0.3947	0.3882
	Mean 4	0.7240	0.3331	0.5274	0.3283
	Range	0.5346	0.2944	0.2650	0.1615