This paper researches on the tool wear condition monitoring by cutting sound signal and workpiece surface texture based on analysis of the relative situation.
本论文在分析现状的基础上，从切削声信号和工件表面纹理这两个方面对刀具磨损状态监测技术进行了研究。
Experiments were implemented to obtain the motor power and AE signals under different cutting parameter condition(cutting velocity, feed velocity and cutting depth), tool wear and breakage conditions.
采用机床主电动机功率法和声发射（AE）法来获取切削过程中发出的刀具磨损和破损信号，建立了刀具状态试验系统。
One is the current signal model with bore cutting condition, and the another is the model of tool wear with cutting conditions and time.
第一种是基于电流信号的刀具磨损模型，第二种是直接基于刀具磨损量的模型，这两种模型均滤除了切削条件的影响。
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