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An Improved Feature Extraction Method for Rolling Bearing Fault Diagnosis Based on MEMD and PE Cover

An Improved Feature Extraction Method for Rolling Bearing Fault Diagnosis Based on MEMD and PE

Polish Maritime Research
Volume 25 (2018): Issue s2 (August 2018)
By: Hu Zhang,  Lei Zhao,  Quan Liu,  Jingjing Luo,  Qin Wei,  Zude Zhou and  Yongzhi Qu  
Open Access
|Sep 2018

Authors

Hu Zhang

School of Information Engineering, Wuhan University of Technology, Wuhan, China

Lei Zhao

zhaoleiand@sina.cn

School of Information Engineering, Wuhan University of Technology, Wuhan, China

Quan Liu

School of Information Engineering, Wuhan University of Technology, Wuhan, China

Jingjing Luo

School of Information Engineering, Wuhan University of Technology, Wuhan, China

Qin Wei

School of Information Engineering, Wuhan University of Technology, Wuhan, China

Zude Zhou

School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China

Yongzhi Qu

School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China
DOI: https://doi.org/10.2478/pomr-2018-0080 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 98 - 106
Published on: Sep 10, 2018
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Improved Feature Extraction Method,
Rolling Bearing Fault Diagnosis,
MEMD and PE
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2018 Hu Zhang, Lei Zhao, Quan Liu, Jingjing Luo, Qin Wei, Zude Zhou, Yongzhi Qu, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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