Fault diagnosis for discrete events systems described by partially observed Petri nets

2021 ◽  
Author(s):  
F. Arichi ◽  
B. Cherki ◽  
M. Djemai ◽  
S.M. Djouadi
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Discrete Events ◽  
Partially Observed ◽  
Discrete Events Systems

Online fault diagnosis in partially observed Petri nets

2018 ◽  
Vol 30 (2) ◽  
pp. 205
Author(s):  
Jiufu Liu ◽  
Zaihong Zhou ◽  
Zhisheng Wang
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Partially Observed

Petri Nets and Discrete Events Systems

2013 ◽  
pp. 231-240 ◽  
Author(s):  
Juan L. G. Guirao ◽  
Fernando L. Pelayo
Keyword(s):  
Dynamical Systems ◽  
Petri Nets ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Discrete Dynamical Systems ◽  
Discrete Events ◽  
Key Factors ◽  
Discrete Events Systems ◽  
The One ◽  
The Relationship

This paper provides an overview over the relationship between Petri Nets and Discrete Event Systems as they have been proved as key factors in the cognitive processes of perception and memorization. In this sense, different aspects of encoding Petri Nets as Discrete Dynamical Systems that try to advance not only in the problem of reachability but also in the one of describing the periodicity of markings and their similarity, are revised. It is also provided a metric for the case of Non-bounded Petri Nets.

Online fault diagnosis in partially observed Petri nets

2018 ◽  
Vol 30 (2) ◽  
pp. 205
Author(s):  
Jiufu Liu ◽  
Zhisheng Wang ◽  
Zaihong Zhou
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Partially Observed

Petri Nets and Discrete Events Systems

2011 ◽  
Vol 3 (3) ◽  
pp. 13-22
Author(s):  
Juan L. G. Guirao ◽  
Fernando L. Pelayo
Keyword(s):  
Petri Nets ◽  
Cognitive Processes ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Discrete Dynamical Systems ◽  
Discrete Events ◽  
Key Factors ◽  
Discrete Events Systems ◽  
The One ◽  
The Relationship

This paper provides an overview over the relationship between Petri Nets and Discrete Event Systems as they have been proved as key factors in the cognitive processes of perception and memorization. In this sense, different aspects of encoding Petri Nets as Discrete Dynamical Systems that try to advance not only in the problem of reachability but also in the one of describing the periodicity of markings and their similarity, are revised. It is also provided a metric for the case of Non-bounded Petri Nets.

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