Rolling Bearing Fault Diagnosis Based on Second Generation Wavelet Denoising and Improved EEMD

Ling Jie Meng; Jia Wei Xiang

doi:10.4028/www.scientific.net/AMM.556-562.2677

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Rolling Bearing Fault Diagnosis Based on Second...

Rolling Bearing Fault Diagnosis Based on Second Generation Wavelet Denoising and Improved EEMD

Abstract:

A new rolling bearing fault diagnosis approach is proposed. The original vibration signal is purified using the second generation wavelet denoising. The purified signal is further decomposed by an improved ensemble empirical mode decomposition (EEMD) method. A new selection criterion, including correlation analysis and the first two intrinsic mode functions (IMFs) with the maximum energy, is put forward to eliminate the pseudo low-frequency components. Experimental investigation show that the rolling bearing fault features can be effectively extracted.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2677-2680

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2677

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Online since:

May 2014

Authors:

Ling Jie Meng*, Jia Wei Xiang

Keywords:

Fault Diagnosis, Improved EEMD, Rolling Bearing, Second Generation Wavelet

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* - Corresponding Author

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