基于MCSA的数控机床伺服电动机故障诊断研究  

Research on Fault Diagnosis of CNC Machine Tool Servo Motors Based on MCSA

作　　者：张驰[1] 谭继文[1] 战卫侠[1] 刘春光[1] 

机构地区：[1]青岛理工大学机械工程学院,青岛266033

出　　处：《煤矿机械》2010年第6期254-256,共3页Coal Mine Machinery

摘　　要：针对数控机床异步型伺服电动机的典型故障,分析了故障与反映在其定子电流频谱上的特征频率之间的关系。采用电机电流分析法(MCSA),以LabVIEW软件为平台,结合National Instrument公司的PCI-6251型数据采集卡,实现对数据的采集、存储、分析处理。通过仿真实验表明该系统可实现对数控机床伺服电动机的故障诊断。Aiming at the typical faults of asynchronous servo motors of CNC machine tool, the relationship between these faults and the characteristic frequency reflected on the frequency spectrum of the stator current are analyzed in detail. By using national Instrument＇s PCI-6251 data acquisition card and LabVIEW software, based on motor current signal analysis （MCSA）, the online data can be acquired, saved, analyzed and processed. The results of simulation experiments confirm the proposed system can implement fault diagnosis on servo motors of CNC machine tool.

关 键 词：电机电流分析法(MCSA) 故障诊断 虚拟仪器 

分 类 号：TM383.4[电气工程—电机] TP306[自动化与计算机技术—计算机系统结构]