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

Autor:	Fatma Lajmi, Mostafa Rashdan, Bilel Neji, Raymond Ghandour, Hedi Dhouibi
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	uncertain systems intervals fuzzy Petri nets modeling fault diagnosis Technology Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Zdroj:	Applied Sciences, Vol 13, Iss 13, p 7603 (2023)
Druh dokumentu:	article
ISSN:	13137603 2076-3417 28042867
DOI:	10.3390/app13137603
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/802ea449eddd473b91ce280428678d75 Zobrazit plný text záznamu View record in DOAJ