Fault Diagnosis in Petri Nets

2018 ◽  
pp. 627-652
Author(s):  
Elvia Ruiz-Beltrán ◽  
Antonio Ramirez-Treviño ◽  
J.L. Orozco-Mora
Keyword(s):  
2010 ◽  
Vol 49 (4) ◽  
pp. 587-595 ◽  
Author(s):  
K. Renganathan ◽  
Vidhyacharan Bhaskar

2014 ◽  
Vol 1008-1009 ◽  
pp. 1176-1179
Author(s):  
Hai Dong ◽  
Heng Bao Xin

In this paper, an approach of fuzzy Petri nets (FPN) is proposed to simulate the fault spreading and diagnosis of hydraulic pump. First, the fuzzy production rules and the definition of FPN were briefly introduced. Then, its knowledge reasoning process and the matrix operations based on an algorithm were conducted, which makes full use of its parallel reasoning ability and makes it simpler and easier to implement. Finally, a case of hydraulic pump fault diagnosis with FPN was presented in detail, for illustrating the interest of the proposed modeling and analysis algorithm.


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