基于虚拟仪器的机车滚动轴承故障诊断研究  

Research on Fault Diagnosis of Tractive Stock Rolling Bearings Based on Virtual Instrument

作　　者：王嘉乐[1] 王灿[1] 会强 

机构地区：[1]石家庄铁道大学机械工程学院,河北石家庄050043

出　　处：《石家庄铁道大学学报（自然科学版）》2012年第3期87-91,共5页Journal of Shijiazhuang Tiedao University(Natural Science Edition)

摘　　要：介绍了机车滚动轴承故障诊断的机理。利用LabVIEW软件和相关硬件,设计了一种机车滚动轴承故障诊断系统。该系统结合某一型号机车轮对,利用CompactDAQ和NI 9233加速度采集模块采集滚动轴承振动信号。根据滚动轴承机理,振动信号包含滚动轴承故障信息。因此,运用小波变换函数,对振动信号进行时频域分析处理,获取有用的故障特征信息,进而确定故障类型。从实验结果可以看出,该方法能准确地找到故障频率,对于机车滚动轴承故障诊断有很好的指导意义。The fault diagnosis mechanism of traclive stock rolling bearing is introduced. A kind of tractive stock rolling bearing fault diagnosis system is designed using l,abVlEW software and related hardware. Combined with a certain type of locomotive wheels, lhe system uses CompactDAQ and NI 9233 acceleration acquisition module to collect the rolling bearing vibration signal. According to the mechanism of rolling bearing, vibration signal includes the fault information of rolling bearing. Therefore, wavelet transform function is used to process the vibration signal in the time domain and frequency domain, so as to obtain useful fault feature information and then determine the fault type. From the experimental resuh, it can be seen that this method can find the fault fi＇equeney accurately, and has a good guidance significanee for fault diagnosis of tractive stock rolling beating.

关 键 词：机车滚动轴承 故障诊断 LABVIEW WAVELET TRANSFORM 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]