This paper introduces a method used to predict cutting tool breakage by Acoustic Emission (AE).
介绍一种用声发射(AE)进行刀具破损预测的方法。
Through collecting vibration signal and analyzing it in the frequency domain in the condition of changing parameter cutting, a single self power spectrum is hard to detect tool breakage effectively.
在变切削参数的加工工况下，通过对振动信号的采集和频域处理，发现采用单一的自功率谱方法难以有效检测出刀片破损。
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。
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