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。
According to experiment data, as for vibration signals sent out during cutting, is used to analysis and disposal, and characteristic value reflecting tool breakage is extracted.
根据试验数据，对切削过程中产生的振动信号进行了分析与处理，提出了能过反映刀具破损的特征量。
It is required for a cutting tool monitoring system to alarm rapidly because of the burst property and the harmfulness of the tool breakage.
刀具破损的突发性和危害性对刀具监测系统提出了快速报警的要求。
It is required for a cutting tool monitoring system to alarm rapidly because of the burst property and the harmfulness of the tool breakage.
刀具破损的突发性和危害性对刀具监测系统提出了快速报警的要求。
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