Fault Diagnosis of Uncertain Systems Based on Interval Fuzzy PETRI Net | Zendy

Fatma Lajmi | Zendy; Achraf Jabeur TALMOUDI | Zendy; Hedi Dhouibi | Zendy

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Fault Diagnosis of Uncertain Systems Based on Interval Fuzzy PETRI Net

Author(s) -

Fatma Lajmi,

Achraf Jabeur TALMOUDI,

Hedi Dhouibi

Publication year - 2017

Publication title -

studies in informatics and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.321

H-Index - 22

eISSN - 1841-429X

pISSN - 1220-1766

DOI - 10.24846/v26i2y201712

Subject(s) - computer science , petri net , interval (graph theory) , stochastic petri net , net (polyhedron) , fault (geology) , fuzzy logic , distributed computing , artificial intelligence , mathematics , geometry , combinatorics , seismology , geology

The purpose of the following article is a novel approach to modeling, diagnosis and control of discrete event systems. This approach uses the Petri net Fuzzy Interval (IFPN) to describe the diagnosis system. The Petri network is used to model the system which needs to be controlled. This work is a description of a case study applied to an ingredient mixing system where the concentration of ingredients has to be held within a valid range.

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