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
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)