根据车刀磨损与工件表面纹理内在关系，研究和设计了显微监测系统。

According to the relationship between turning tools' wear and work-piece texture, a micro monitoring system is researched and designed.

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在实验数据的基础上，对工件表面纹理图像的特征参数进行提取，提出采用相对距离作为刀具磨损程度的评价指标。

Using the experimental data, feature parameters of workpiece surface texture images were extracted. Relative distance was presented to evaluate the wear degree of cutting tools.

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本论文在分析现状的基础上，从切削声信号和工件表面纹理这两个方面对刀具磨损状态监测技术进行了研究。

This paper researches on the tool wear condition monitoring by cutting sound signal and workpiece surface texture based on analysis of the relative situation.

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