摘要
运用统计方法对刀具在切削过程中产生的声信号在低频带、中频带和高频带的功率谱分别进行了分析,并以此开发了具有BP网络识别的刀具在线监控系统。
The power density spectrum of the cutting sound signals generated in the tool cutting process were analyzed separately in the low frequency band, middle frequency band and high frequency band by the method of statistics. On this basis, an on - line monitoring system with BP networks pattern recognition for the tools wear has been developed
出处
《制造技术与机床》
CSCD
北大核心
2008年第6期34-36,共3页
Manufacturing Technology & Machine Tool
关键词
声发射信号
刀具磨损
功率谱
监控系统
AE Signal
Tools Wear
Power Density Spectrum
Monitoring System
