摘要
针对铁路机车所使用的滚动轴承的典型故障,基于HHT方法及LabVIEW软件,开发了一套机车滚动轴承故障诊断平台,采用NI的多通道数据采集设备PXIe完成了对机车滚动轴承振动信息的采集、故障特征信息的提取和分析,有效地识别出机车滚动轴承的工作状态和故障类型。由实验结果可知,经HHT分析外圈故障数据得到的故障频率与理论计算值相符,是一种滚动轴承故障诊断的有效方法。
Locomotive rolling bearing is one of the most important aspects of locomotive fault detection.HHTis a new-type time-frequency analytical method with adaptability, which can effectively analysis nonstationary signal produced by vibration of locomotive rolling bearings. According to the typical fault produced in locomotive rolling bearing, a system of locomotive rolling bearings fault diagnosis was developed, which was based on HHT,LabVIEW and PXIe. This system can extract and analysis the fault feature information of locomotive rolling bearings successfully and then identify the working condition and fault type of locomotive rolling bearings accurately.From the experiment results, failure frequency which is obtained by HHT matches theoretical value.It is a effective method to diagnose rolling bearings.
出处
《振动.测试与诊断》
EI
CSCD
北大核心
2013年第S1期184-187,230,共5页
Journal of Vibration,Measurement & Diagnosis