摘要
利用小波分析技术提取刀具状态信号特征量,用神经网络技术对信号的特征量进行训练仿真。结果表明,该方法实现了对刀具切削状态的特征识别。
The charateristics components of tool state signals are abstracted using wavelet analysis technology and the components are trained with simulation by Neural-Nelwork technology.The results obtained show that the characteristics identification of tool cutting conditions is attained by the approach.
出处
《四川工业学院学报》
2004年第4期32-35,共4页
Journal of Sichuan University of Science and Technology
基金
西华大学人才培养项目基金资助(0422137)。
关键词
小波分析
神经网络
刀具
特征识别
wavelet analysis
Neural-Networks
tool
characters identified
