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刀具磨损、破损的在线监控是ＦＭＳ的基本功能之一。本文介绍一种用检测主轴电机动率的方法来监测刀具破损的系统。功率原始信号经离散自回归ＡＲ模型处理，利用信号的实测值与模型预测值之间的预测偏差来判断刀具的破损。
Tool wear, broken online monitoring is one of the basic functions of FMS. This article describes a system that detects tool breakage using a method of detecting spindle motor power. The original power signal is processed by a discrete autoregressive AR model, and the tool breakage is judged by the prediction deviation between the measured value of the signal and the predicted value of the model.