Wavelet Algorithm in Rotating Machinery Fault Feature Extraction

Dong Song Luo; Zheng Fan

doi:10.4028/www.scientific.net/AMR.823.451

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 823Wavelet Algorithm in Rotating Machinery Fault...

Wavelet Algorithm in Rotating Machinery Fault Feature Extraction

Abstract:

A method of Rotating Machinery fault feature extraction based on wavelet transform and Hilbert demodulation is been studied. On the basis of rotating machinery fault mechanism and spectral characteristics, wavelet transform is used to be decompose the vibration acceleration signals of bearing faults into different frequency bands, Which is then used to achieve accurate fault information by Hilbert demodulation. The result shows the method can effectively improve the frequency resolution and realize accurate extraction of fault feature, and it has certain practical value for industrial production of rotating machinery faults diagnosis when applied to the production industry. Key words: Rotating Machinery; bearings; Wavelet algorithm; Hilbert demodulation

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Periodical:

Advanced Materials Research (Volume 823)

Pages:

451-455

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.823.451

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Online since:

October 2013

Authors:

Dong Song Luo*, Zheng Fan

Keywords:

Bearings, Hilbert Demodulation, Rotating Machinery, Wavelet Algorithm

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* - Corresponding Author

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