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Multi Sources Information Fusion Based on Bayesian Network Method to Improve the Fault Prediction of Centrifugal Compressor Cover

Multi Sources Information Fusion Based on Bayesian Network Method to Improve the Fault Prediction of Centrifugal Compressor

Strojnícky časopis - Journal of Mechanical Engineering
Volume 72 (2022): Issue 1 (April 2022)
By:  and    
Open Access
|May 2022
Authors

Authors

Karim Nessaib

k.nessaib@univ-soukahras.dz

Department of Mechanical Engineering, Mohamed Cherif Messaadia University, Souk-Ahras, Algeria
Laboratory of Management, Maintenance and Rehabilitation Of Facilities and Urban Infrastructure

Abdelaziz Lakehal

a.lakehal@univ-soukahras.dz

Department of Mechanical Engineering, Mohamed Cherif Messaadia University, Souk-Ahras, Algeria
DOI: https://doi.org/10.2478/scjme-2022-0011 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472
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Language: English
Page range: 109 - 124
Published on: May 9, 2022
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Centrifugal Compressor,
Fault prediction,
Bayesian Networks,
Multi-source information fusion,
decision making
Related subjects:
Engineering,
Mechanical engineering,
Fundamentals of mechanical engineering,
Mechanics

© 2022 Karim Nessaib, Abdelaziz Lakehal, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 72 (2022): Issue 1 (April 2022)
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