By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.

通过时间序列分析建立反映切削状态的数学模型，从动态数据中凝聚信息，构成用于判别的特征向量。

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This article states machined properties of part's material, properties of cutting tool materials and some structure of cutting tool that used in large flat surface.

本文从实用出发，系统介绍了适用于制作大型平面材料的切削性能以及适用于大型平面精铣的几种刀具结构和使用情况。

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In addition, according to various states of the establishment, proceeding and cancel of the cutting tool nose radius compensation, the data are stored in different way.

此外，按照刀补建立、进行及撤消等不同的状态采用不同的方法进行数据的存储，从而提高程序的可扩充性及可替换性。

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