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Journal Bearing Performance Prediction Using Machine Learning and Octave-Band Signal Analysis of Sound and Vibration Measurements Cover

Journal Bearing Performance Prediction Using Machine Learning and Octave-Band Signal Analysis of Sound and Vibration Measurements

Polish Maritime Research
Volume 28 (2021): Issue 3 (September 2021)
By: Marios Moschopoulos,  Georgios N. Rossopoulos and  Christos I. Papadopoulos  
Open Access
|Oct 2021
DOI: https://doi.org/10.2478/pomr-2021-0041 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 137 - 149
Published on: Oct 22, 2021
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Journal bearing loading condition,
RK4 Bently Nevada,
Vibration and acoustic pressure signal,
Octave band signal analysis,
Machine learning algorithms
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2021 Marios Moschopoulos, Georgios N. Rossopoulos, Christos I. Papadopoulos, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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