Roller bearings&rsquo; fault diagnosis based on HVD denoising and multi-band spectra superposition

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (11) : 136-144.

Roller bearings’ fault diagnosis based on HVD denoising and multi-band spectra superposition

DENG Sier 1,2,4 ,ZHANG Yanwei1 ,WANG Hengdi1 ,ZHANG Jitao3, ZHANG Wenhu4

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Abstract

To effectively extract early fault features of roller bearings, a method for fault diagnosis of roller beatings based on HVD (Hilbert vibration decomposition) denoising and multi-band local optimal spectra superposition was proposed. Firstly, the components containing rich fault information were extracted from roller bearings’vibration signals after HVD. Secondly, their multi-band spectra were analyzed to extract multiple local optimal frequency bands. The spectra of local optimal frequency bands after envelope demodulation were calculated. Finally, these spectra were superimposed to protrude the weak fault information contained. The proposed method was applied in fault diagnosis of roller bearings, the results were compared with those using the fast kurtosis analysis, its effectiveness was verified.

Key words

Key words: roller bearing / fault diagnosis / HVD denoising / spectra superposition

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DENG Sier 1,2,4,ZHANG Yanwei1,WANG Hengdi1,ZHANG Jitao3, ZHANG Wenhu4. Roller bearings’ fault diagnosis based on HVD denoising and multi-band spectra superposition[J]. Journal of Vibration and Shock, 2018, 37(11): 136-144

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