Modelling of dynamical dependability by using stochastic processes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F11%3A%230001868" target="_blank" >RIV/46747885:24220/11:#0001868 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.esrel2011.com" target="_blank" >http://www.esrel2011.com</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Modelling of dynamical dependability by using stochastic processes

Popis výsledku v původním jazyce

This paper on the topic of ?Modelling of dynamical dependability by using stochastic processes? has the main aim of expanding the Markov analysis (in dependability) by adding an instrument, which allows learning and describing time and performance dynamics of complicated systems, especially network structure. The base hypothesis of the Markov analysis is that failure and repair rates between two postures are constant. The instrument for time dynamics can solve tasks whose failure and repair rates are not constant and also solve repairs in predetermined maintenance. Mathematical solving of this problem is based on a construction of differential equations with non-constant parameters and their solution. The Runge-Kutta method is used for components, which are as ?good as old?. The Monte Carlo method is usually used for components of a system, which are as ?good as new?.

Název v anglickém jazyce

Modelling of dynamical dependability by using stochastic processes

Popis výsledku anglicky

This paper on the topic of ?Modelling of dynamical dependability by using stochastic processes? has the main aim of expanding the Markov analysis (in dependability) by adding an instrument, which allows learning and describing time and performance dynamics of complicated systems, especially network structure. The base hypothesis of the Markov analysis is that failure and repair rates between two postures are constant. The instrument for time dynamics can solve tasks whose failure and repair rates are not constant and also solve repairs in predetermined maintenance. Mathematical solving of this problem is based on a construction of differential equations with non-constant parameters and their solution. The Runge-Kutta method is used for components, which are as ?good as old?. The Monte Carlo method is usually used for components of a system, which are as ?good as new?.

Druh

D - Stať ve sborníku

CEP obor

JS - Řízení spolehlivosti a kvality, zkušebnictví

OECD FORD obor

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Projekt

<a href="/cs/project/1M0554" target="_blank" >1M0554: Pokročilé sanační technologie a procesy</a><br>

Návaznosti

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

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Safety, Reliability and Risk Management

ISBN

978-0-203-13510-5

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

2045-2049

Název nakladatele

Taylor&Francis Group

Místo vydání

London, UK

Místo konání akce

Troyes, France

Datum konání akce

1. 1. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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