Gear Local Fault Diagnosis with Empirical Mode Decomposition and Hilbert Huang Transformation

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Abstract:

A new method for gear local fault diagnosis based on vibration signal analysis is presented in this paper by using the concept of instantaneous frequency. The data from the physical simulation are used to detect the change in the instantaneous frequency and meshing vibration energy of the gear tooth fault by Empirical Mode Decomposition and Hilbert Huang Transformation (EMD-HHT). It is verified that method is effective by rig testing of geared system.

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Advanced Materials Research (Volumes 199-200)

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899-904

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February 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q et al., 1998, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,. Proc. R. Soc. Lond. A 454, p.903–995.

DOI: 10.1098/rspa.1998.0193

Google Scholar

[2] Huang NE, Wu MC, Long SR, Shen SSP, Qu W, Gloersen P et al., 2003, A confidence limit for the empirical mode decomposition and Hilbert spectral analysis,. Proc R Soc London A 459, p.2317–2345.

DOI: 10.1098/rspa.2003.1123

Google Scholar

[3] Han Zhennan, Xiong shibo, Li Jinbao, 2003, Detection of Incipient Localized Gear Faults in Gearbox by Complex Continuous Wavelet Transform, Chinese Journal of Mechanical Engineering, 16(4), pp.363-366.

DOI: 10.3901/cjme.2003.04.363

Google Scholar

[4] Kuang. J.H. and Yang Y.T., 1992, An Estimate of Mesh Stiffness and Load Sharing Ratio of a Spur Gear Pair, Proceedings of ASME 12th International Power Transmission and Gearing Conference., Scoltscale Arizona DE-43-1. pp.1-10.

DOI: 10.1115/detc1992-0001

Google Scholar

[5] Han Zhennan, 2003, Study of Method of Local Fault Diagnosis of Geared System, Ph.D. Thesis, Taiyuan University of Technology, Taiyuan, Shanxi, PRC.

Google Scholar