多源数据混合驱动的铣削刀具磨损状态动态评价方法
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						       		毛建威,周迪,庄笑,孙维方
						  	
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				Dynamic evaluation method for milling tool wear state using multi-source data hybrid drive
			
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						       		Jianwei MAO,Di ZHOU,Xiao ZHUANG,Weifang SUN
						  	
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		| 表 2 所提刀具磨损状态评估模型在4组铣削实验中的评估指标(不同输入方式条件下) | 
	
	
		| Tab.2 Evaluation metrics of proposed tool wear state evaluation model in four milling experiments (under different inputs) | 
	
	
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			| 输入 | 实验1组 |  | 实验2组 |  | 实验3组 |  | 实验4组 |  | MAE | RMSE | R2 |  | MAE | RMSE | R2 |  | MAE | RMSE | R2 |  | MAE | RMSE | R2 |  | 信号 | 0.14655 | 0.21005 | 0.75630 |  | 0.10064 | 0.11671 | 0.75243 |  | 0.09094 | 0.12585 | 0.67865 |  | 0.14217 | 0.15723 | 0.68958 |  | 图像 | 0.09462 | 0.12396 | 0.91511 |  | 0.07130 | 0.07782 | 0.88992 |  | 0.05890 | 0.08809 | 0.84253 |  | 0.08007 | 0.09269 | 0.89210 |  | 图像+信号 | 0.14099 | 0.18476 | 0.81144 |  | 0.08381 | 0.09681 | 0.82965 |  | 0.07243 | 0.09933 | 0.79980 |  | 0.07300 | 0.10292 | 0.86697 |  | 图像+MTF | 0.09674 | 0.10927 | 0.93404 |  | 0.05186 | 0.06776 | 0.91654 |  | 0.05292 | 0.07853 | 0.87486 |  | 0.06334 | 0.07224 | 0.93446 |   
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