Specification of Dynamic Fault Tree Concepts with Stochastic Petri Nets

2014 ◽  
Author(s):  
Lena Herscheid ◽  
Peter Troger
Keyword(s):  
Petri Nets ◽  
Fault Tree ◽  
Stochastic Petri Nets ◽  
Dynamic Fault Tree

scholarly journals Reliability Modeling and Evaluation of Electric Vehicle Motor by Using Fault Tree and Extended Stochastic Petri Nets

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bing Wang ◽  
Guangdong Tian ◽  
Yanping Liang ◽  
Tiangang Qiang
Keyword(s):  
Petri Nets ◽  
Reliability Analysis ◽  
Electric Vehicle ◽  
Fault Tree ◽  
Stochastic Petri Nets ◽  
Intelligent Algorithm ◽  
Reliability Modeling ◽  
Hybrid Intelligent Algorithm ◽  
Reliability Calculation ◽  
Do So

Performing reliability analysis of electric vehicle motor has an important impact on its safety. To do so, this paper proposes its reliability modeling and evaluation issues of electric vehicle motor by using fault tree (FT) and extended stochastic Petri nets (ESPN). Based on the concepts of FT and ESPN, an FT based ESPN model for reliability analysis is obtained. In addition, the reliability calculation method is introduced and this work designs a hybrid intelligent algorithm integrating stochastic simulation and NN, namely, NN based simulation algorithm, to solve it. Finally, taking an electric vehicle motor as an example, its reliability modeling and evaluation issues are analyzed. The results illustrate the proposed models and the effectiveness of proposed algorithms. Moreover, the results reported in this work could be useful for the designers of electric vehicle motor, particularly, in the process of redesigning the electric vehicle motor and scheduling its reliability growth plan.

Extended Stochastic Petri Nets: Applications and Analysis.

1984 ◽  
Author(s):  
J. B. Dugan ◽  
K. S. Trivedi ◽  
R. M. Geist ◽  
V. F. Nicola
Keyword(s):  
Petri Nets ◽  
Stochastic Petri Nets

The Quantitative Assessment of Domino Effects Based on Stochastic Petri Nets

2008 ◽  
Vol 44-46 ◽  
pp. 537-544
Author(s):  
Shi Yi Bao ◽  
Jian Xin Zhu ◽  
Li J. Wang ◽  
Ning Jiang ◽  
Zeng Liang Gao
Keyword(s):  
Petri Nets ◽  
State Space ◽  
Petri Net ◽  
Quantitative Assessment ◽  
Stochastic Petri Nets ◽  
Industrial Park ◽  
Domino Effect ◽  
State Space Explosion ◽  
Stochastic Petri Net ◽  
Chemical Industrial Park

The quantitative analysis of “domino” effects is one of the main aspects of hazard assessment in chemical industrial park. This paper demonstrates the application of heterogeneous stochastic Petri net modeling techniques to the quantitative assessment of the probabilities of domino effects of major accidents in chemical industrial park. First, five events are included in the domino effect models of major accidents: pool fire, explosion, boiling liquid expanding vapour explosion (BLEVE) giving rise to a fragment, jet fire and delayed explosion of a vapour cloud. Then, the domino effect models are converted into Generalized Stochastic Petri net (GSPN) in which the probability of the domino effect is calculated automatically. The Stochastic Petri nets’ models, which are state-space based ones, increase the modeling flexibility but create the state-space explosion problems. Finally, in order to alleviate the state-space explosion problems of GSPN models, this paper employs Stochastic Wellformed Net (SWN), a particular class of High-Level (colored) SPN. To conduct a case study on a chemical industrial park, the probability of domino effects of major accidents is calculated by using the GSPN model and SWN model in this paper.

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