基于小波分析和模糊控制理论的铣刀磨损监控方法

Tool wear monitoring on milling based on wavelet analysis and fuz zy control theory

研制了一种铣刀磨损的监控方法。在该系统中信号采集采用声发射传感器，信号的特征提取采用小波分析的方法，将变换后的尺度系数和各个频段的小波系数作为特征，采用自行设计的Sugeno模糊控制系统进行状态识别，模糊控制系统的输出是刀具磨损的具体值。

This paper develops a method to monitor the tool wear on milling.In this paper,we use an acoustic emission sensor for signal acq uisition;use wavelet transform for signal feature extraction,the features is the scaling coefficient and the wavelet coefficients of AE signal;employ Sugeno fuz zy controller to recognize the features above corresponding to different amount of tool wear,the output of the controller is the tool wear(in mm).