Fuzzy filtering of sensors signals in railway transport systems

The scope of the presented work is devoted to monitoring transport railway networks. These systems have robustness to temporal perturbations. The major paper contributes to the fuzzy filtering of sensor signals incorporating robustness parameters. This novel concept combines a conventional sensor si...

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Main Authors: Mhalla Anis, Simon Dutilleul
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2024-06-01
Series:Journal of Fuzzy Extension and Applications
Subjects:
Online Access:https://www.journal-fea.com/article_193080_b8c872e84d9f564505a2967f715098d5.pdf
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author Mhalla Anis
Simon Dutilleul
author_facet Mhalla Anis
Simon Dutilleul
author_sort Mhalla Anis
collection DOAJ
description The scope of the presented work is devoted to monitoring transport railway networks. These systems have robustness to temporal perturbations. The major paper contributes to the fuzzy filtering of sensor signals incorporating robustness parameters. This novel concept combines a conventional sensor signal filter mechanism and fuzzy logic principles. The strengths of these two techniques are leveraged to prevent control freezing and the fuzzy systems' ability to handle inaccurate information by employing fuzzy rules. Lastly, an example is shown to prove the efficiency and accuracy of the newly developed approach. The findings reveal that the fuzzy logic allows the maintenance of the travel process in a degraded mode while ensuring traffic quality and customer safety by incorporating expert knowledge.
format Article
id doaj-art-daa7934cea3a4d1dbe9cc632daf53645
institution Kabale University
issn 2783-1442
2717-3453
language English
publishDate 2024-06-01
publisher Ayandegan Institute of Higher Education,
record_format Article
series Journal of Fuzzy Extension and Applications
spelling doaj-art-daa7934cea3a4d1dbe9cc632daf536452025-01-30T15:07:06ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532024-06-015222323710.22105/jfea.2024.431394.1347193080Fuzzy filtering of sensors signals in railway transport systemsMhalla Anis0Simon Dutilleul1Laboratory of Automation, Electrical Systems Environment (LAESE), National Engineering School of Monastir (ENIM), Monastir, Tunisia.COSYS Department, ESTAS Laboratory, University of Gustave Eiffel, France.The scope of the presented work is devoted to monitoring transport railway networks. These systems have robustness to temporal perturbations. The major paper contributes to the fuzzy filtering of sensor signals incorporating robustness parameters. This novel concept combines a conventional sensor signal filter mechanism and fuzzy logic principles. The strengths of these two techniques are leveraged to prevent control freezing and the fuzzy systems' ability to handle inaccurate information by employing fuzzy rules. Lastly, an example is shown to prove the efficiency and accuracy of the newly developed approach. The findings reveal that the fuzzy logic allows the maintenance of the travel process in a degraded mode while ensuring traffic quality and customer safety by incorporating expert knowledge.https://www.journal-fea.com/article_193080_b8c872e84d9f564505a2967f715098d5.pdffuzzy filteringsensors signalrailway transportmonitoring
spellingShingle Mhalla Anis
Simon Dutilleul
Fuzzy filtering of sensors signals in railway transport systems
Journal of Fuzzy Extension and Applications
fuzzy filtering
sensors signal
railway transport
monitoring
title Fuzzy filtering of sensors signals in railway transport systems
title_full Fuzzy filtering of sensors signals in railway transport systems
title_fullStr Fuzzy filtering of sensors signals in railway transport systems
title_full_unstemmed Fuzzy filtering of sensors signals in railway transport systems
title_short Fuzzy filtering of sensors signals in railway transport systems
title_sort fuzzy filtering of sensors signals in railway transport systems
topic fuzzy filtering
sensors signal
railway transport
monitoring
url https://www.journal-fea.com/article_193080_b8c872e84d9f564505a2967f715098d5.pdf
work_keys_str_mv AT mhallaanis fuzzyfilteringofsensorssignalsinrailwaytransportsystems
AT simondutilleul fuzzyfilteringofsensorssignalsinrailwaytransportsystems