Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network

Fault diagnosis plays a crucial role in enhancing system dependability and minimizing potential catastrophic consequences for both equipment and human safety. This article presents a research study focused on developing a diagnosis and control approach for discrete event systems using the Petri net...

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Main Authors: Fatma Lajmi, Mostafa Rashdan, Bilel Neji, Raymond Ghandour, Hedi Dhouibi
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/13/7603
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author Fatma Lajmi
Mostafa Rashdan
Bilel Neji
Raymond Ghandour
Hedi Dhouibi
author_facet Fatma Lajmi
Mostafa Rashdan
Bilel Neji
Raymond Ghandour
Hedi Dhouibi
author_sort Fatma Lajmi
collection DOAJ
description Fault diagnosis plays a crucial role in enhancing system dependability and minimizing potential catastrophic consequences for both equipment and human safety. This article presents a research study focused on developing a diagnosis and control approach for discrete event systems using the Petri net Fuzzy Interval (IFPN). The Petri net is utilized as a modeling tool for the target system. The paper describes a case study conducted on an ingredient mixing system, where the objective is to maintain the concentration of ingredients within a valid range. A diagnostic framework is constructed and successfully applied to identify faults in the system. The proposed approach is further validated through simulation tests conducted on a mixing system.
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spelling doaj.art-802ea449eddd473b91ce280428678d752023-11-18T16:08:51ZengMDPI AGApplied Sciences2076-34172023-06-011313760310.3390/app13137603Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri NetworkFatma Lajmi0Mostafa Rashdan1Bilel Neji2Raymond Ghandour3Hedi Dhouibi4ENISO Laboratory: Networked Objects, Control, and Communication Systems (NOCCS), National Engineering School of Sousse, Sousse 4054, TunisiaCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, KuwaitCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, KuwaitCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, KuwaitHigh Institute of Applied Sciences and Technology of Kairouan, University of Kairouan, Kairouan 3100, TunisiaFault diagnosis plays a crucial role in enhancing system dependability and minimizing potential catastrophic consequences for both equipment and human safety. This article presents a research study focused on developing a diagnosis and control approach for discrete event systems using the Petri net Fuzzy Interval (IFPN). The Petri net is utilized as a modeling tool for the target system. The paper describes a case study conducted on an ingredient mixing system, where the objective is to maintain the concentration of ingredients within a valid range. A diagnostic framework is constructed and successfully applied to identify faults in the system. The proposed approach is further validated through simulation tests conducted on a mixing system.https://www.mdpi.com/2076-3417/13/13/7603uncertain systemsintervals fuzzy Petri netsmodelingfault diagnosis
spellingShingle Fatma Lajmi
Mostafa Rashdan
Bilel Neji
Raymond Ghandour
Hedi Dhouibi
Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network
Applied Sciences
uncertain systems
intervals fuzzy Petri nets
modeling
fault diagnosis
title Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network
title_full Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network
title_fullStr Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network
title_full_unstemmed Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network
title_short Construction of a Dynamic Diagnostic Approach for a Fuzzy-Interval Petri Network
title_sort construction of a dynamic diagnostic approach for a fuzzy interval petri network
topic uncertain systems
intervals fuzzy Petri nets
modeling
fault diagnosis
url https://www.mdpi.com/2076-3417/13/13/7603
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