基于切削声LPCC的刀具磨损监测  

Tool-wear Monitoring Based on LPCC of Cutting Sound

作　　者：艾长胜[1] 何光伟[1] 董全成[1] 昃向博[1] 

机构地区：[1]济南大学,济南250022

出　　处：《中国机械工程》2009年第17期2045-2048,共4页China Mechanical Engineering

基　　金：教育部科学技术研究重点项目(206088);山东省重点学科基金资助项目(XTD0713)

摘　　要：提出了基于切削声线性预测倒谱系数(LPCC)的刀具磨损状态监测方法。采用LPCC对可听阈内的切削声信号进行表征,分析了LPCC的分量与刀具磨损的关系。利用LPCC相关分量加权和反映刀具的磨损状态,并进行了验证。研究结果表明,切削声信号的LPCC相关分量加权和可以有效地反映刀具的磨损状态。A new tool--wear monitoring method was presented, which was based on LPCC of cutting sound. Firstly, audible cutting sound was characterized by LPCC, then the relationship among the components of LPCC and tool wear was analyzed, tool--wear state was reflected by the weighted sum of relative LPCC components, and finally proved by experiments. The research results indicate that the weighted sum of relative LPCC components abstracted from audible cutting sound can reflect effectively tool--wear states. .

关 键 词：刀具磨损 在线监测 切削声 线性预测倒谱系数 相关分析 

分 类 号：TH164[机械工程—机械制造及自动化]