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Application of Regression Models on the Prediction of Corrosion Degradation of a Crude Oil Distillation Unit Cover

Application of Regression Models on the Prediction of Corrosion Degradation of a Crude Oil Distillation Unit

Advances in Materials Science
Volume 24 (2024): Issue 1 (March 2024)
By: Balázs Varbai,  Richárd Wéber,  Balázs Farkas,  Péter Danyi,  Antal Krójer,  Roland Locskai,  György Bohács and  Csaba Hős  
Open Access
|Mar 2024

Authors

Balázs Varbai

varbai.balazs@gpk.bme.hu

Department of Materials Science & Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary

Richárd Wéber

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary

Balázs Farkas

MOL Plc, Hungary

Péter Danyi

MOL Plc, Hungary

Antal Krójer

RozsdaLovag Ltd, Hungary

Roland Locskai

RozsdaLovag Ltd, Hungary

György Bohács

Green Italy Srl, Cagliari, Italy

Csaba Hős

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
DOI: https://doi.org/10.2478/adms-2024-0005 | Journal eISSN: 2083-4799 | Journal ISSN: 1730-2439
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Language: English
Page range: 72 - 85
Published on: Mar 16, 2024
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
regression analysis,
corrosion prediction,
predictive maintenance,
carbon steel
Related subjects:
Materials sciences,
Functional and smart materials

© 2024 Balázs Varbai, Richárd Wéber, Balázs Farkas, Péter Danyi, Antal Krójer, Roland Locskai, György Bohács, Csaba Hős, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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