基于数据相关系统方法，开发了一种利用加速度信号监测端铣刀的技术。该技术不需要主轴编码、齿程相关性或其他将采样频率与加工频率联系起来的方法。齿程频率的第一和第二倍数的能量模式对刀具磨损和接近失效时发生的微小变化非常敏感。这项技术的能力是通过三个终端来展示的- 铣削寿命试验。所有三项寿命试验都提供了即将发生故障的早期警告。

A technique capable of monitoring an end-milling tool using acceleration signals is developed based on the Data Dependent Systems methodology. The technique does not require spindle encoding, tooth pass correlations, or other means of relating the sampling frequency to the machining frequencies. The energy modes of the first and second multiples of the tooth pass frequency are shown to be sensitive to the minute changes that occur as the tool wears and approaches failure. The abilities of the technique are demonstrated using three end-milling life tests. Early warning of impending failure is provided in all three of the life tests.