A Study on Fault Diagnosis of Gears Based on Local Mean Decomposition Method

Qiang Pan; Deng Hong Xiao; Tian He

doi:10.4028/www.scientific.net/AMR.683.899

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 683A Study on Fault Diagnosis of Gears Based on Local...

A Study on Fault Diagnosis of Gears Based on Local Mean Decomposition Method

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 683)

Pages:

899-902

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.683.899

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Online since:

April 2013

Authors:

Qiang Pan, Deng Hong Xiao, Tian He

Keywords:

Fault Diagnosis, Gear, Hilbert Transform, Local Mean Decomposition (LMD)

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