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Fault Diagnosis of Imbalance and Misalignment in Rotor-Bearing Systems Using Deep Learning Cover

Fault Diagnosis of Imbalance and Misalignment in Rotor-Bearing Systems Using Deep Learning

Polish Maritime Research
Volume 31 (2024): Issue 1 (March 2024)
By: Fayou Liu,  Weijia Li,  Yaozhong Wu,  Yuhang He and  Tianyun Li  
Open Access
|Mar 2024

Authors

Fayou Liu

Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, China

Weijia Li

liweijia@hust.edu.cn

Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, China

Yaozhong Wu

School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, China

Yuhang He

Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, China

Tianyun Li

Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, China
DOI: https://doi.org/10.2478/pomr-2024-0011 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 102 - 113
Published on: Mar 29, 2024
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Rotor-bearing system,
Vibration signal,
Feature extraction,
Deep learning,
Deep residual shrinkage network,
Test platform
Related subjects:
Geosciences,
Atmospheric science and climatology,
Engineering,
Introductions and overviews,
Engineering, other,
Life sciences,
Life sciences, other

© 2024 Fayou Liu, Weijia Li, Yaozhong Wu, Yuhang He, Tianyun Li, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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