DEVELOPMENT AND APPLICATION OF NEURO-FUZZY PETRI NETS

2020 ◽  
Vol 2 (95) ◽  
pp. 35-46
Author(s):  
Aleksei Sukonshchikov ◽  
Anatolii Shvetsov ◽  
Anatolii Ulitin
Keyword(s):  
Petri Nets ◽  
Neuro Fuzzy ◽  
Fuzzy Petri Nets

scholarly journals Modeling of Industrial and Technological Processes in Complex Systems Based on Neuro-Fuzzy Petri Nets

2021 ◽  
Vol 2096 (1) ◽  
pp. 012173
Author(s):  
A V Bobryakov ◽  
S A Prokopenko ◽  
A E Misnik ◽  
S K Krutalevich
Keyword(s):  
Complex System ◽  
Complex Systems ◽  
Petri Nets ◽  
Technological Process ◽  
Technological Processes ◽  
Specialized Software ◽  
Effective Functioning ◽  
Neuro Fuzzy ◽  
Fuzzy Petri Nets

Abstract For effective functioning within a complex system, industrial and technological processes are supported by appropriate information-analytical processes that ensure the collection and analysis of information, as well as modeling and making control decisions for the industrial and technological process. A variety of neuro-fuzzy Petri nets with temporal fuzzy neurons is proposed. An example of con-structing a model of an industrial and technological process and the corresponding information-analytical processes is considered. The developed specialized software for modeling industrial and technological processes and the implementation of information-analytical processes is considered.

A self-navigating robot using Fuzzy Petri nets

2018 ◽  
Vol 101 ◽  
pp. 153-165 ◽  
Author(s):  
Seung-yun Kim ◽  
Yilin Yang
Keyword(s):  
Petri Nets ◽  
Fuzzy Petri Nets

Application of Fuzzy Petri Nets in Hydraulic Pump Fault Diagnosis

2014 ◽  
Vol 1008-1009 ◽  
pp. 1176-1179
Author(s):  
Hai Dong ◽  
Heng Bao Xin
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Hydraulic Pump ◽  
Modeling And Analysis ◽  
Matrix Operations ◽  
Knowledge Reasoning ◽  
Fuzzy Production Rules ◽  
The Matrix ◽  
Fuzzy Petri Nets ◽  
Definition Of

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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