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

作　　者：马建峰[1] 王信义[1] 

机构地区：[1]北京理工大学,7系98博100081

出　　处：《现代制造工程》2001年第10期38-40,共4页Modern Manufacturing Engineering

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).

关 键 词：铣刀磨损 小波分析 模糊控制器 

分 类 号：TB24[一般工业技术—工程设计测绘]