Analysis of discrete event systems by simulation of timed Petri net models

2002 ◽  
Vol 61 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Ernesto López-Mellado
Keyword(s):  
Petri Net ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Timed Petri Net ◽  
Event Systems

A Simple Petri Net controller in Discrete Event systems

2012 ◽  
Vol 45 (6) ◽  
pp. 188-193 ◽  
Author(s):  
M. Zareiee ◽  
A. Dideban ◽  
A.A. Orouji ◽  
H. Alla
Keyword(s):  
Petri Net ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Event Systems

A Petri Net Diagnoser for Discrete Event Systems Modeled by Finite State Automata

2015 ◽  
Vol 60 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Felipe Gomes Cabral ◽  
Marcos Vicente Moreira ◽  
Oumar Diene ◽  
Joao Carlos Basilio
Keyword(s):  
Petri Net ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Finite State Automata ◽  
Event Systems ◽  
Finite State

Fault Detection, Isolation and Characterisation for Discrete Event Systems Based on Petri Nets Models

2010 ◽  
pp. 387-416
Author(s):  
Dimitri Lefebvre ◽  
Edouard Leclercq ◽  
Souleiman Ould El Mehdi
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Practical Interest ◽  
Transportation Systems ◽  
Intermittent Faults ◽  
Event Systems ◽  
Stochastic Time

Petri net models are used to detect and isolate faults in case of discrete event systems as manufacturing, robotic, communication and transportation systems. This chapter addresses two problems. The first one is the structure designs and parameters identification of the Petri net models according to the observation and analysis of the sequences of events that are collected. Deterministic and stochastic time Petri nets are concerned. The proposed method is based on a statistical analysis of data and has a practical interest as long as sequences of events are already saved by supervision systems. The second problem concerns the use of the resulting Petri net models to detect, isolate and characterize faults in discrete event systems. This contribution includes the characterization of intermittent faults. This issue is important because faults are often progressive from intermittent to definitive and early faults detection and isolation improve productivity and save money and resources.

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