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Authors: M. Amine Atoui 1 ; Achraf Cohen 2 ; Phillipe Rauffet 1 and Pascal Berruet 1

Affiliations: 1 Lab-STICC, UMR 6285 CNRS, Université Bretagne Sud and France ; 2 Department of Mathematics and Statistics, University of West Florida, Pensacola, Florida 32514 and U.S.A.

Keyword(s): Bayesian Networks, Classification, Fault Diagnosis, Distance Rejection Criterion.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Robotics and Automation ; Surveillance

Abstract: In this paper, Bayesian network classifiers (BNCs) are used as a statistical tool to diagnosis faults with a distance rejection criterion. The proposed approach enhances significantly the structure of the use of Bayesian networks in the same context. Our framework is evaluated and compared to state of the art using data from the benchmark Tennessee Eastman Process (TEP).

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Paper citation in several formats:
Atoui, M.; Cohen, A.; Rauffet, P. and Berruet, P. (2019). Fault Diagnosis by Bayesian Network Classifiers with a Distance Rejection Criterion. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-380-3; ISSN 2184-2809, SciTePress, pages 463-468. DOI: 10.5220/0008053304630468

@conference{icinco19,
author={M. Amine Atoui. and Achraf Cohen. and Phillipe Rauffet. and Pascal Berruet.},
title={Fault Diagnosis by Bayesian Network Classifiers with a Distance Rejection Criterion},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2019},
pages={463-468},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008053304630468},
isbn={978-989-758-380-3},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Fault Diagnosis by Bayesian Network Classifiers with a Distance Rejection Criterion
SN - 978-989-758-380-3
IS - 2184-2809
AU - Atoui, M.
AU - Cohen, A.
AU - Rauffet, P.
AU - Berruet, P.
PY - 2019
SP - 463
EP - 468
DO - 10.5220/0008053304630468
PB - SciTePress