The Analysis of Gearbox Fault Diagnosis Research Based on the EMD and Hilbert Envelope Demodulation

Guo Dong Han; Shu Ting Wan; Zhan Jie Lv; Rong Hai Liu; Jin Wang; Gui Ji Tang

doi:10.4028/www.scientific.net/AMR.926-930.1800

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930The Analysis of Gearbox Fault Diagnosis Research...

The Analysis of Gearbox Fault Diagnosis Research Based on the EMD and Hilbert Envelope Demodulation

Abstract:

This paper puts forward a kind of gearbox fault diagnosis methods which based on empirical mode decomposition (EMD), Hilbert transform, Fast Fourier Transform (FFT) and spectrum refined techniques. This method is applicable to the analysis of the nonlinear unsteady signal. First of all used wavelet denoising to the acquisition of gearbox vibrate signal, again carries on the empirical mode decomposition (EMD), than get a certain number of intrinsic mode function (imf); Choose the specific imf, based on kurtosis value, after the Hilbert transform and Fast Fourier Transform is done, the corresponding power spectrum can be obtained; To refine the power spectrum and extract the gearbox fault characteristic frequency; Then in pattern recognition and diagnosis of the gearbox fault, and compared with the normal signal characteristics. The analysis results show that the proposed method can effectively detect the gearbox fault characteristics.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1800-1805

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1800

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Cite this paper

Online since:

May 2014

Authors:

Guo Dong Han*, Shu Ting Wan, Zhan Jie Lv, Rong Hai Liu, Jin Wang, Gui Ji Tang

Keywords:

Empirical Mode Decomposition (EMD), Envelope Demodulation, Fault Diagnosis, Gearbox, Hilbert Transform

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* - Corresponding Author

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