Reliability modeling of parallel programs with modular structure using stochastic Petri nets

1991 ◽  
Vol 16 (2) ◽  
pp. 121-128
Author(s):  
Ho Tsu-Feng ◽  
Chan Wah-Chun ◽  
Chung Chyan-Goei
Keyword(s):  
Petri Nets ◽  
Parallel Programs ◽  
Stochastic Petri Nets ◽  
Modular Structure ◽  
Reliability Modeling

Markov Chains and Stochastic Petri Nets for Availability and Reliability Modeling

2019 ◽  
pp. 127-151
Author(s):  
Paulo Romero Martins Maciel ◽  
Jamilson Ramalho Dantas ◽  
Rubens de Souza Matos Júnior
Keyword(s):  
Markov Chains ◽  
Petri Nets ◽  
Stochastic Petri Nets ◽  
Reliability Modeling

scholarly journals Dynamic Reliability Model for Airborne Systems Based on Stochastic Petri Net

2020 ◽  
Vol 38 (4) ◽  
pp. 846-854
Author(s):  
Lu Zhuang ◽  
Zhong Lu ◽  
Ziwen Zhang
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Electrical Power ◽  
Stochastic Petri Nets ◽  
Reliability Model ◽  
Electrical Power System ◽  
Reliability Modeling ◽  
Dynamic Reliability ◽  
Stochastic Petri Net ◽  
Reliability Method

The reliability of the airborne systems have a significant influence on the safety of aircraft. The modern airborne systems have a high degree of automation and integration, which lead to obvious dynamic failure characteristics. Namely, system failure is not only dependent on the combination of units' failures but also related to their sequence. A dynamic reliability method for modeling airborne systems is proposed based on the stochastic Petri nets. Stochastic Petri nets are applied in reliability modeling for typical dynamic structures including warm standby, cold standby and load sharing, which are widely used in airborne systems. In this way, the dynamic (time-dependent) failure behaviors of the airborne system can be represented. In terms of the stochastic Petri net based reliability model, a reliability analysis method based on Monte Carlo simulation is proposed by generating system life samples for system reliability parameter calculation. Finally, an electrical power system is used as a case to illustrate the application and effectiveness of the present approaches. The results show that the difference by using the present method and the analytical method is below 2×10-7, which can be neglected in practice.

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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