Have a personal or library account? Click to login
A Data Driven Fault Isolation Method Based on Reference Faulty Situations with Application to a Nonlinear Chemical Process Cover

A Data Driven Fault Isolation Method Based on Reference Faulty Situations with Application to a Nonlinear Chemical Process

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 4 (December 2022)
By: E Ragot,  Gilles Mourot and  Maya Kallas  
Open Access
|Dec 2022

Authors

E Ragot

CRAN University of Lorraine/CNRS, Nancy, France

Gilles Mourot

gilles.mourot@univ-lorraine.fr

CRAN University of Lorraine/CNRS, Nancy, France

Maya Kallas

CRAN University of Lorraine/CNRS, Nancy, France
DOI: https://doi.org/10.34768/amcs-2022-0044 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Journal RSS Feed
Language: English
Page range: 635 - 655
Submitted on: Dec 19, 2021
Accepted on: Aug 4, 2022
Published on: Dec 30, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
fault detection,
fault isolation,
prediction,
nonlinear systems,
data modelling,
kernel
Related subjects:
Mathematics,
Applied mathematics

© 2022 E Ragot, Gilles Mourot, Maya Kallas, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 32 (2022): Issue 4 (December 2022)Next article