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A Neural-Fuzzy Approach for Fault Diagnosis of Hybrid Dynamical Systems: Demonstration on Three-Tank System Cover

A Neural-Fuzzy Approach for Fault Diagnosis of Hybrid Dynamical Systems: Demonstration on Three-Tank System

Acta Mechanica et Automatica
Volume 15 (2021): Issue 1 (March 2021)
By: ,  ,   and    
Open Access
|May 2021
Authors

Authors

Mohammed Said Achbi

achbi.mohammedsaid@univ-guelma.dz

Laboratoire d’Automatique et Informatique de Guelma (LAIG), Algérie

Sihem Kechida

kechida.sihem@univ-guelma.dz

Laboratoire d’Automatique et Informatique de Guelma (LAIG), Algérie

Lotfi Mhamdi

lotfienim@yahoo.fr

Laboratory of Automatic Signal and Image Processing (LARATSI), National School of Engineers of Monastir, University of Monastir, Tunisia

Hedi Dhouibi

hedi.dhouibi@laposte.net

Laboratory of Automatic Signal and Image Processing (LARATSI), National School of Engineers of Monastir, University of Monastir, Tunisia
DOI: https://doi.org/10.2478/ama-2021-0001 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 1 - 8
Submitted on: Mar 22, 2020
Accepted on: Mar 10, 2021
Published on: May 15, 2021
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
hybrid dynamic systems,
modelling,
residual generation and evaluation,
monitoring,
fault diagnosis,
neural-fuzzy approach
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2021 Mohammed Said Achbi, Sihem Kechida, Lotfi Mhamdi, Hedi Dhouibi, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 15 (2021): Issue 1 (March 2021)
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