Gear Fault Diagnosis Based on Continuous Wavelet Spectrum Slice

Meng Huang; Shi Qiu; Xiao Li Yin; Hua Yuan Huang; Jun Cao; Zhen Xing Liu; Cheng Zhou Fan; Yan Xia Li

doi:10.4028/www.scientific.net/AMM.602-605.2403

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Gear Fault Diagnosis Based on Continuous Wavelet...

Gear Fault Diagnosis Based on Continuous Wavelet Spectrum Slice

Abstract:

Analysis the common gear fault signal, using continuous wavelet transform well time-frequency characteristics and failure mechanism gear features, combined with quasi-periodic signal rotary mechanical characteristics of the continuous wavelet transform fault signal. This method can reduce the noise source and other incentives interference, remove the specific needs of the signal to improve signal stripping effect, the use of a certain type of gear failures this step, to get a clear diagnosis results show that this method has proven a strong application space.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2403-2406

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2403

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Cite this paper

Online since:

August 2014

Authors:

Meng Huang*, Shi Qiu, Xiao Li Yin, Hua Yuan Huang, Jun Cao, Zhen Xing Liu, Cheng Zhou Fan, Yan Xia Li

Keywords:

Continuous Wavelet Transform, Fault Diagnosis, Feature Extraction, Sliced Spectrum

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* - Corresponding Author

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