CPS系统中刀具加工状态实时监测的新方法  

A New Method of Real Time Monitoring of Machining Status in CPS System

作　　者：陈标 林子超[1] 郭国强[2] 沈彬[1] CHEN Biao;LIN Zi-chao;GUO Guo-qiang;SHEN Bin(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Spaceflight Precision Machinery Institute,Shanghai 201600,China)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240 [2]上海航天精密机械研究所,上海201600

出　　处：《机械设计与制造》2018年第A02期62-64,68,共4页Machinery Design & Manufacture

基　　金：工信部高技术船舶科研项目(CDGC01-KT0505);航天器结构件智能制造模式及示范应用(2016ZXFM03002);上海市航空航天智能制造专业技术服务平台(16DZ2293300);上海市青年科技启明星计划(16QB1400900);上海市工业互联网创新发展专项(2017-GYHLW-01002)

摘　　要：机床是信息物理系统(CPS系统)中主要的执行单元和感知单元,对其加工状态的动态监测和实时感知可以提高产品质量。为了实现加工现场信号采集和刀具加工状态在线监测,设计了主轴功率信号采集系统,同时引入力信号作为对比分析,应用希尔伯特-黄变换和小波变换根据特征频率段的信号特征构造了刀具磨损系数,将刀具磨损状态和磨损系数对应起来,在加工现场实现了刀具状态的在线监测。通过和小波变换的对比,证明了希尔伯特-黄变换在处理功率信号方面可以有效抑制噪声信号,提高监测的准确性。Machine tool,as the main execution unit and sensing unit in Cyber-Physical System,needs to be real-time monitored in the machining process to improve product quality.In order to realize the on-the-spot signal acquisition and tool state on-line monitoring,a spindle power acquisition system was implemented.Based on the signal features in the eigen frequency band,the Hilbert-huang transform and Wavelet transform were used to process the power signal to construct the tool wear coefficient,which is corresponding to the tool wear state,to realizing the on-line monitoring.It turned out that Hilbert-huang transform performed better than Wavelet transform in noise suppression in the processing of power signal,which leads to a more accurate result in online monitoring.

关 键 词：信息物理系统 功率信号 希尔伯特-黄变换 磨损系数 小波变换 

分 类 号：TH16[机械工程—机械制造及自动化]