摘要
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).
出处
《现代制造工程》
CSCD
北大核心
2001年第10期38-40,共4页
Modern Manufacturing Engineering
关键词
铣刀磨损
小波分析
模糊控制器
Tool wear of milling tool Wavelet analysis Fuzzy controller
