Risk Modeling in Process Industries by Stochastic Petri Nets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091977" target="_blank" >RIV/61989100:27240/14:86091977 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86091977

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_32" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07401-6_32</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_32" target="_blank" >10.1007/978-3-319-07401-6_32</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Risk Modeling in Process Industries by Stochastic Petri Nets

Popis výsledku v původním jazyce

Modeling the risk to safety of personnel in offshore industry is often realized by the application of Event Trees. The risk is then defined as a product of event frequency and its consequences. However, steady-state methods like Event Trees are not suitable for modeling time-dependent probability of fatality based on time-dependent events. This article presents a new possible approach to modeling the risk to safety of personnel by Stochastic Petri nets (SPN). Stochastic Petri nets models for small leak occurrence on an offshore platform is shown, based on a realistic example from the offshore industry. The probabilities of fatalities were obtained from the simulation by using the Moca-RP software and compared to probabilities obtained by Event Trees and direct Monte Carlo simulation methods.

Název v anglickém jazyce

Risk Modeling in Process Industries by Stochastic Petri Nets

Popis výsledku anglicky

Modeling the risk to safety of personnel in offshore industry is often realized by the application of Event Trees. The risk is then defined as a product of event frequency and its consequences. However, steady-state methods like Event Trees are not suitable for modeling time-dependent probability of fatality based on time-dependent events. This article presents a new possible approach to modeling the risk to safety of personnel by Stochastic Petri nets (SPN). Stochastic Petri nets models for small leak occurrence on an offshore platform is shown, based on a realistic example from the offshore industry. The probabilities of fatalities were obtained from the simulation by using the Moca-RP software and compared to probabilities obtained by Event Trees and direct Monte Carlo simulation methods.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Nostradamus 2014: prediction, modeling and analysis of complex systems

ISBN

978-3-319-07400-9

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

10

Strana od-do

327-336

Název nakladatele

Springer

Místo vydání

London

Místo konání akce

Ostrava

Datum konání akce

23. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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