期刊文献+

零序电流及改进峰值能量法在电机滚动轴承故障诊断中的应用

Application of Zero Sequence Current and Improved Peak Energy Method on Fault Diagnosis of Motor Rolling Bearing
原文传递
导出
摘要 基于滚动轴承故障引起的零序电流变化的机理,提出一种采用小波变换及改进峰值能量法的牵引电机轴承故障诊断方法,并进行了案例验证。首先,通过park变换获得零序电流信号;其次,采用小波变换及峰值能量法对零序电流信号分解并平方整流;最后,对整流信号进行包络及傅里叶分析,提取其中的轴承故障特征频率,实现轴承的故障诊断。案例结果表明,该方法能够有效地提取轴承故障特征频率,实现对电机轴承的故障诊断。 Based on the change of zero sequence current caused by rolling bearing faults,a fault diagnosis method for traction motor bearing by using wavelet transform and improved peak energy method was proposed and verified by a case.Firstly,the zero sequence current is obtained through park transformation.Secondly,wavelet transform and peak energy method are used for square rectification.Finally,the envelope and Fourier analysis of the rectification signal are carried out,and the bearing fault characteristic frequency in the signal is extracted to achieve bearing fault diagnosis.The case results show that this method can effectively extract the bearing fault characteristic frequency and achieve fault diagnosis for motor bearing.
作者 李继伟 马浩 尚朋飞 Li Jiwei;Ma Hao;Shang Pengfei(CRRC Yongji Motor Co.,Ltd.,Yuncheng 044502,China;Shanxi Key Laboratory of Traction Motor for Rail Transit,Yuncheng 044502,China)
出处 《煤矿机械》 2024年第4期173-175,共3页 Coal Mine Machinery
基金 适用于复杂环境下的大功率风力发电机关键技术研究及产品研制“科学家+工程师”队伍(2023KXJ-041)。
关键词 滚动轴承 零序电流 小波变换 峰值能量 故障诊断 rolling bearing zero sequence current wavelet transform peak energy fault diagnosis
  • 相关文献

参考文献5

二级参考文献51

  • 1侯新国,吴正国,夏立,卜乐平.基于Park矢量模信号小波分解的感应电机轴承故障诊断方法[J].中国电机工程学报,2005,25(14):115-119. 被引量:30
  • 2钟秉林 黄仁.机械故障诊断学[M].北京:机械工业出版社,2000..
  • 3HENAO H,HEDAYATI KIA S,CAPOLINO G A. Tor-sional Vibration Assessment and Gear Fault Diagnosis inRailway Traction System[J]. IEEE Trans, on Industrial E-lectronics,2011,58(5) :1707-1717.
  • 4NANDI S,TOLIYAT H A, LI Xiao-dong, et al. ConditionMonitoring and Fault Diagnosis of Electrical Motors-a Re-view [J]. IEEE Trans, on Energy Conversion,2005 ,20(4):719-729.
  • 5JUNG J H, LEE J J?KWON B H. Online Diagnosis of In-duction Motors Using MCSA[J]. IEEE Trans, on Lndustri-al Electronics,2006,53(6) :1842-1852.
  • 6LAUENZO C C,NGAN H W. Detection of Motor BearingOuter Raceway Defect by Wavelet Packet TransformedMotor Current Signature Analysis [J]. IEEE Trans, on In-strumentation and Measurement,2010,59(10) :2683-2690.
  • 7Teotrakool Kaptan, Devaney M J, Eren Levent. Adjustable-speed Drive Bearing-fault Detection via Wavelet Packet De-composition [J ] . IEEE Trans, on Instrumentation andMeasurement,2009 ,58(8) *2747-2754.
  • 8Immovilli Fabio, Bellini Alberto, Rubini Riccardo, et al. Di-agnosis of Bearing Faults in Induction Machines by Vibra-tion or Current Signals : A Critical Comparison [J]. IEEETrans, on Industrial Applications,2010,46(4) ; 1350-1359.
  • 9SCHOEN R R,HABETLER T G’KAMRAN F,et al. Mo-tor Bearing Damage Detection Using Stator Current Moni-toring [J]. IEEE Trans, on Industrial Applications ,1995,31(6):1274-1279.
  • 10Blodt Martin,Granjon Pierre,Raison Bertrand,et al. Mod-els for Bearing Damage Detection in Induction Motors U-sing Stator Current Monitoring[J]. IEEE Trans, on Indus-trial Electronics,2008,45(4) : 1813-1822.

共引文献63

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部