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。
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。
Can apply thousands of pounds tension to metal stock or welds in excellent condition, causing breakage, yet NO TOOL MARKS are left on the finish.
能在良好的条件下运用数千磅的压力于金属盘或焊接处，导致破坏，但在完成后却没有留下任何痕迹。
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