重庆大学学报：自然科学版2011，Vol.34Issue(9)：9-16,8.
功率信息互相关法的刀具破损在线监测
On-line tool breakage monitoring method based on power information and cross-correlation algorithm
摘要
Abstract
In order to reliably monitor unexpected tool failure and prevent workpiece or machine tool from possible damages in batch machining,a tool breakage on-line monitoring method based on power information and cross-correlation algorithm is proposed.In this method,wavelet coefficients of spindle-power signal are used as the characteristic vector of machining information,and then the vector sequence extracted from a normal machining process via Mallat wavelet is defined as the reference template for monitoring cutting tool condition.In batch machining,real-time characteristic vector of the workpiece in machining process is extracted via an improved real-time wavelet algorithm.The correlation of two vector sub-sequences within a sampling time window,which is described by generalized cross-correlation coefficient,decreases apparently when the tool is broken.The generalized cross-correlation coefficient is defined as tool condition index（TCI）,and tool breakage can be detected by monitoring the TCI with a threshold value.Experiments show that the method can accurately identify tool breakage failures in normal machining condition,and thus it is practical.关键词
刀具状态/在线监测/主轴功率/小波变换/互相关算法Key words
cutting tools＇ condition/condition on-line monitoring/motor power/wavelet transforms/cross-correlation algorithm分类
机械制造引用本文复制引用
贺晓辉,鄢萍,张佳毅,刘飞..功率信息互相关法的刀具破损在线监测[J].重庆大学学报：自然科学版,2011,34(9):9-16,8.基金项目
国家自然科学基金资助项目 （）
教育部“新世纪优秀人才支持计划”资助项目 （）
重庆市重大科技攻关项目 （）
中央高校基本科研业务费资助项目 （）
