会议专题

A study on fault diagnosis of gears based on local mean decomposition method

  In present paper,the effectiveness of local mean decomposition (LMD) method to signals of fault gears,which are multi-component amplitude modulated and frequency modulated,is demonstrated.A series of tests on wearing and broken tooth of gears are conducted.And the fault characteristics extracted by Fourier transform,Hilbert transform and LMD are compared.The results validate that LMD method is an effective way to extract the characteristics of fault gears and improve the accuracy of fault diagnosis of gears since it is able to reduce effect of false components.

Local mean decomposition Gear Fault diagnosis Hilbert transform

Qiang Pan Denghong Xiao Tian He

School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China

国际会议

2nd International Conference on Advanced Materials and Engineering Materials(第二届先进材料与工程材料国际会议)(ICAMEM2012)

北京

英文

899-902

2012-12-16(万方平台首次上网日期,不代表论文的发表时间)