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

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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: Mohammed Said Achbi, Sihem Kechida, Lotfi Mhamdi and Hedi Dhouibi

Open Access

|May 2021

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,

residual generation and evaluation,

fault diagnosis,

neural-fuzzy approach

Related subjects:

Civil engineering,

Environmental engineering,

Electrical engineering,

Mechanical engineering,

Bioengineering and biomedical 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.

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