基于小波分析和模糊控制理论的铣刀磨损监控方法
马建峰 王信义
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，采甩自行设计的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。
关键词：铣刀磨损 小波分析 模糊控制器
中图分类号：TB24 文献标识码：A 文章编号：1671—3133(2001)10—0038—03
Tool wear monitoring on milling based on wavelet analysis and fuzzy control theory
Ma Jianfeng, Wang Xinyi
Abetract This paper developes a method to monitor the tool wear on milling. In this paper, we use an acoustic emission sensor for signal acquisition;use wavelet transfom for signal feature extraction, the features is the scaling coefficient and the wavelet offcients of AE sig-nal; employ Sugeno fuzzy controller to recognize the features above corresponding to dferent amount of tool wear , the output of the controller is the tool wear( in mm) .
Key words:Tool wear of miling tool Wavelet analysis Fuzzy cotroller
刀具的磨损与破损监控检测系统一般由信号检 测、特征生成(信号处理)与特征提取、状态识别、决策。
