A micro grid fault diagnosis method based on redundant Petri net considering temporal constraints

2017 ◽  
Author(s):  
Xingzhen Bai ◽  
Xiangmin Chen ◽  
Xingquan Ji ◽  
Pengfei Li ◽  
Qingqing Zhang
Keyword(s):  
Fault Diagnosis ◽  
Petri Net ◽  
Temporal Constraints ◽  
Diagnosis Method ◽  
Micro Grid

scholarly journals Micro grid fault diagnosis based on redundant embedding Petri net

2018 ◽  
Vol 6 (3) ◽  
pp. 289-296
Author(s):  
Xiangmin Chen ◽  
Xingzhen Bai ◽  
Qingqing Zhang
Keyword(s):  
Fault Diagnosis ◽  
Petri Net ◽  
Micro Grid

Fault Diagnosis for AP1000 Plant Feed Water System Based on the Fault Petri Net

2012 ◽  
Vol 217-219 ◽  
pp. 2726-2730
Author(s):  
Wei Liu ◽  
Rong Yuan Hu ◽  
Xi Yun Yang ◽  
Mu Jie Dong
Keyword(s):  
Fault Diagnosis ◽  
Water Flow ◽  
Petri Net ◽  
Nuclear Power ◽  
Water System ◽  
Feed Water ◽  
Quantitative Calculation ◽  
System A ◽  
Diagnosis Method ◽  
Important System

Abstract. The feed water system is one of the most important system for nuclear power plant. Based on an analysis for the working principles of the AP1000 plant main feed water system, a novel fault Petri net model and fault diagnosis method are proposed. The main feed water flow low alarm is a serious fault for the feed water system, Petri net theory is adopted to establish the fault model for this fault signal. Through the consequence and account for this model, fault reasons and reasons probability for the main feed water flow low have been obtained. Application shows that, the fault Petri net has more advantages than the fault tree in qualitative analysis and quantitative calculation. And this method is a new route for the nuclear plant systems’ fault diagnosis.

A fuzzy Petri net based approach for fault diagnosis in power systems considering temporal constraints

2016 ◽  
Vol 78 ◽  
pp. 215-224 ◽  
Author(s):  
Yan Zhang ◽  
Yong Zhang ◽  
Fushuan Wen ◽  
Chi Yung Chung ◽  
Chung-Li Tseng ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Power Systems ◽  
Petri Net ◽  
Temporal Constraints ◽  
Fuzzy Petri Net

scholarly journals Fault Diagnosis for Discrete Event Systems Using Partially Observed Petri Nets

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Ye Dandan ◽  
Luo Jiliang ◽  
Su Hongye
Keyword(s):  
Fault Diagnosis ◽  
Petri Net ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Diagnostic Process ◽  
Structure Information ◽  
Event Systems ◽  
Time Requirements ◽  
Diagnosis Method ◽  
Partially Observable

This study proposes a fault diagnosis method of discrete event systems on the basis of a Petri net model with partially observable transitions. Assume that the structure of the Petri net model and the initial marking are known, and the faults can be modeled by its unobservable transitions. One of the contributions of this work is the use of the structure information of Petri net to construct an online fault diagnoser which can describe the system behavior of normal or potential faults. By modeling the flow of tokens in particular places that contain fault information, the variation of tokens in these places may be calculated. The outputs and inputs of these places are determined to be enabled or not through analyzing some special structures. With the structure information, traversing all the states is not required. Furthermore, the computational complexity of the polynomial allows the model to meet real-time requirements. Another contribution of this work is to simplify the subnet model ahead of conducting the diagnostic process with the use of reduction rules. By removing some nodes that do not contain the necessary diagnostic information, the memory cost can be reduced.

Research on Fault Diagnosis Method of the Aircraft Flap System Based on Weighted Fuzzy Petri Net

2012 ◽  
Vol 166-169 ◽  
pp. 1465-1470
Author(s):  
Qing Hong Xu ◽  
Cai Jing ◽  
Yi Ming Xu
Keyword(s):  
Fault Diagnosis ◽  
Complex Systems ◽  
Petri Net ◽  
Fuzzy Inference ◽  
Fault Probability ◽  
Formal Process ◽  
Matrix Operations ◽  
Fuzzy Petri Net ◽  
Diagnosis Method ◽  
Reasoning Algorithm

Accordingly to the problem that during the fault diagnosis of the flap system, the existing experience and knowledge are always uncertainty, inconsistency, incompleteness, what’s more, the different fault cause has different effect on the fault. So the Weighted Fuzzy Petri Net is adopted, and fuzzy Petri net and matrix operations are combined, then the formal process of fuzzy inference reasoning algorithm is researched in order to obtain the fault probability of each event in the fault tree of flap system. The presented method effectively makes up the deficiency of the traditional FTA and FMEA, and provides a new fault diagnosis method for complex systems, so the fault diagnosis method based on Weighted Fuzzy Petri Net has a great practical value.

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