| Autor: |
Lajmi, Fatma, Rashdan, Mostafa, Neji, Bilel, Ghandour, Raymond, Dhouibi, Hedi |
| Předmět: |
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| Zdroj: |
Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 13, p7603, 17p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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