Applications of Stochastic Petri Nets to Assessment Problems in Industrial Systems

2016 ◽  
pp. 169-173
Keyword(s):  
Petri Nets ◽  
Stochastic Petri Nets ◽  
Industrial Systems ◽  
Assessment Problems

Maintenance Planning of an Offshore Wind Turbine Using Stochastic Petri Nets With Predicates

2013 ◽  
Author(s):  
Fernando P. dos Santos ◽  
Ângelo P. Teixeira ◽  
C. Guedes Soares
Keyword(s):  
Wind Turbine ◽  
Petri Nets ◽  
Stochastic Petri Nets ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Industrial Systems ◽  
Offshore Wind Turbines ◽  
Component Systems ◽  
Generalized Stochastic Petri Nets ◽  
Reliability Block Diagrams

Operation and maintenance (O&M) activities have a significant impact on the energy cost for offshore wind turbines. Analytical methods such as reliability block diagrams and Markov processes along with simulation approaches have been widely used in planning and optimizing O&M actions in industrial systems. Generalized stochastic Petri Nets (GSPN) with predicates coupled with Monte Carlo simulation (MCS) are applied in this paper to model the planning of O&M activities of an offshore wind turbine. The merits of GSPN in modeling complex, multi-state and multi-component systems are addressed. Three maintenance categories classified according to the size and weight of the components to be replaced and the logistics involved, such as vessels, maintenance crew and spares and, the associated delays and costs are included in the model. The weather windows for accessing the wind turbine are also modeled. Corrective maintenance based on replacements and age imperfect preventive maintenance are modeled and compared in terms of the wind turbine’s performance (e.g. availability and loss production) and of the O&M costs.

Maintenance Planning of an Offshore Wind Turbine Using Stochastic Petri Nets With Predicates

2018 ◽  
Vol 140 (2) ◽  
Author(s):  
F. P. Santos ◽  
A. P. Teixeira ◽  
C. Guedes Soares
Keyword(s):  
Wind Turbine ◽  
Petri Nets ◽  
Stochastic Petri Nets ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Industrial Systems ◽  
Offshore Wind Turbines ◽  
Operations And Maintenance ◽  
Generalized Stochastic Petri Nets ◽  
Maintenance Activities

Operations and maintenance activities have a significant impact on the energy cost for offshore wind turbines. Analytical methods such as reliability block diagrams and Markov processes along with simulation approaches have been widely used in planning and optimizing operations and maintenance actions in industrial systems. Generalized stochastic Petri nets (GSPNs) with predicates coupled with Monte Carlo simulation (MCS) are applied in this paper to model the planning of operations and maintenance activities of an offshore wind turbine. The merits of GSPN in modeling complex and multicomponent systems are addressed. Three maintenance categories classified according to the size and weight of the components to be replaced and the logistics involved, such as vessels, maintenance crew and spares and, the associated delays, and costs are included in the model. The weather windows for accessing the wind turbine are also modeled. Corrective maintenance (CM) based on replacements and age-dependent preventive maintenance (PM) with imperfect repair are modeled and compared in terms of the wind turbine's performance (e.g., availability and loss production) and of the operations and maintenance costs.

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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