摘要
研究了数控刀具切削过程中声发射(AE)信号的产生机理和特点,提出了利用小波分解和小波包分解技术提取AE信号特征参数的方法监测刀具的磨损状态,并通过实例验证了该方法在刀具磨损监测中的可行性。
The mechanism and characteristics of acoustic emission （AE） signals in the cutting process of NC tool are investigated. Based on the technologies of wavelet decomposition and wavelet packet decomposition, the methods of monitoring the wear state of NC tools with the characteristics parameters of AE signals are presented. Applying the methods to sample signals, results show that the methods are feasible.
出处
《测控技术》
CSCD
北大核心
2009年第12期13-16,共4页
Measurement & Control Technology
基金
沈阳市人才专项基金支持(07syrc04)
关键词
小波分析
数控刀具
磨损
监测
声发射
wavelet analysis
NC tool
wear
monitoring
acoustic emission
