Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine-Reference-Cited by-同舟云学术

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Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine

Published:2014-06-04 Issue:3 Volume:50 Page:865-874
ISSN:0025-6455
Container-title:Meccanica
language:en
Short-container-title:Meccanica

Author:

Tabrizi A.,Garibaldi L.,Fasana A.,Marchesiello S.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Link

http://link.springer.com/content/pdf/10.1007/s11012-014-9968-z.pdf

Reference20 articles.

1. Randall R, Antoni J (2011) Rolling element bearing diagnostics—a tutorial. Mech Syst Signal Process 25:485–520

2. Huang N, Shen Z, Long S, Wu M, Shih H, Zheng Q, Yen N, Tung C, Liu H (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. ProcR Soc Lond 454:903–995

3. Wu Z, Huang N (2009) Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv Adapt Data Anal 1(1):1–41

4. Lei Y, Lin J, He Z, Zuo M (2013) A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mech Syst Signal Process 35:108–126

5. Peng Z, Chu F (2004) Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography. Mech Syst Signal Process 18:199–221

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