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Strojnícky časopis - Journal of Mechanical Engineering
Volume 72 (2022): Issue 1 (April 2022)
Open Access
Multi Sources Information Fusion Based on Bayesian Network Method to Improve the Fault Prediction of Centrifugal Compressor
Karim Nessaib
Karim Nessaib
and
Abdelaziz Lakehal
Abdelaziz Lakehal
| May 09, 2022
Strojnícky časopis - Journal of Mechanical Engineering
Volume 72 (2022): Issue 1 (April 2022)
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Published Online:
May 09, 2022
Page range:
109 - 124
DOI:
https://doi.org/10.2478/scjme-2022-0011
Keywords
Centrifugal Compressor
,
Fault prediction
,
Bayesian Networks
,
Multi-source information fusion
,
decision making
© 2022 Nessaib Karim et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Karim Nessaib
Department of Mechanical Engineering, Mohamed Cherif Messaadia University
Souk-Ahras, Algeria
Laboratory of Management, Maintenance and Rehabilitation Of Facilities and Urban Infrastructure,
Abdelaziz Lakehal
Department of Mechanical Engineering, Mohamed Cherif Messaadia University
Souk-Ahras, Algeria