Batch Process Fault Diagnosis Based on Fuzzy Petri Nets

2006 ◽  
Author(s):  
Liu Zhenjuan ◽  
Pan Bo ◽  
Li Hongguang
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Batch Process ◽  
Fuzzy Petri Nets ◽  
Process Fault Diagnosis

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.

scholarly journals Fault Diagnosis of Power Systems Based on Temporal Constrained Fuzzy Petri Nets

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101895-101904 ◽  
Author(s):  
Biao Xu ◽  
Xin Yin ◽  
Xianggen Yin ◽  
Yikai Wang ◽  
Shuai Pang
Keyword(s):  
Fault Diagnosis ◽  
Power Systems ◽  
Petri Nets ◽  
Fuzzy Petri Nets

Design of Simulation System for Batch Process

2011 ◽  
Vol 55-57 ◽  
pp. 1693-1698
Author(s):  
Zhong Hu Yuan ◽  
Xiao Yu Qi ◽  
Xiao Wei Han
Keyword(s):  
Fault Diagnosis ◽  
Production Process ◽  
Batch Process ◽  
Simulation System ◽  
Experimental Simulation ◽  
Research Focus ◽  
Industrial Control ◽  
Simulation Data ◽  
Process Fault Diagnosis ◽  
Penicillin Fermentation

Process monitoring and fault diagnosis of batch process is a research focus in the industrial control field. In this paper, penicillin fermentation is taken as the research background, a visual batch process simulation system is designed based on mathematical models of an actual production process. By introducing different fault signals to the penicillin fermentation simulation process, the designed system can be used to simulate the real penicillin fermentation production process clearly. In the end, an ideal experimental simulation data for batch process fault diagnosis is provided.

scholarly journals Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Mingyue Tan ◽  
Jiming Li ◽  
Xiangqian Chen ◽  
Xuezhen Cheng
Keyword(s):  
Time Series ◽  
Fault Diagnosis ◽  
Petri Nets ◽  
Power Grid ◽  
New Method ◽  
Uncertain Information ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Petri Nets ◽  
Diagnosis Method ◽  
Diagnosis Model

To improve the reliability of power grid fault diagnosis by enhancing the processing ability of uncertain information and adequately utilizing the alarm information about power grids, a fault diagnosis method using intuitionistic fuzzy Petri Nets based on time series matching is proposed in this paper. First, the alarm hypothesis sequence and the real alarm sequence are constructed using the alarm information and the general grid protection configuration model, and the similarity of the two sequences is used to calculate the timing confidence. Then, an intuitionistic fuzzy Petri Nets fault diagnosis model, with an excellent ability to process uncertain information from intuitionistic fuzzy sets, is constructed, and the initial place value of the model is corrected by the timing confidence. Finally, an application of the fault diagnosis model for the actual grid is established to analyze and verify the diagnostic results of the new method. The results for some test cases show that the new method can improve the accuracy and fault tolerance of fault diagnosis, and, furthermore, the abnormal state of the component can be inferred.

Sign in / Sign up

Export Citation Format

Share Document