Risk Analysis of Production Units in a Power Station Using Bayesian Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F14%3A00214990" target="_blank" >RIV/68407700:21610/14:00214990 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1201/b15938-330" target="_blank" >http://dx.doi.org/10.1201/b15938-330</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1201/b15938-330" target="_blank" >10.1201/b15938-330</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Risk Analysis of Production Units in a Power Station Using Bayesian Networks

Popis výsledku v původním jazyce

A general framework for the risk analysis of production units of a power station is proposed using statistical methods and Bayesian networks. Input data consist of failure rates specified on the basis of inspections, measurements and expert judgements. Considered economic consequences include outages of key technological devices; social consequences cover potential injuries or fatalities. Risks are predicted using regression analyses of time series of selected parameters describing the actual states ofkey devices. Proposed procedures are applied to a selected production unit of a fossil power station. The proposed framework provides valuable information about individual devices and their components with regard to economic and social consequences. Methodology, intentionally simplified for operational applications, includes important factors affecting risks of production units. It appears that Bayesian networks represent a transparent method for probabilistic risk analysis.

Název v anglickém jazyce

Risk Analysis of Production Units in a Power Station Using Bayesian Networks

Popis výsledku anglicky

A general framework for the risk analysis of production units of a power station is proposed using statistical methods and Bayesian networks. Input data consist of failure rates specified on the basis of inspections, measurements and expert judgements. Considered economic consequences include outages of key technological devices; social consequences cover potential injuries or fatalities. Risks are predicted using regression analyses of time series of selected parameters describing the actual states ofkey devices. Proposed procedures are applied to a selected production unit of a fossil power station. The proposed framework provides valuable information about individual devices and their components with regard to economic and social consequences. Methodology, intentionally simplified for operational applications, includes important factors affecting risks of production units. It appears that Bayesian networks represent a transparent method for probabilistic risk analysis.

Druh

D - Stať ve sborníku

CEP obor

JN - Stavebnictví

OECD FORD obor

—

Projekt

<a href="/cs/project/TE01020068" target="_blank" >TE01020068: Centrum výzkumu a experimentálního vývoje spolehlivé energetiky</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

Safety, Reliability and Risk Analysis: Beyond the Horizon

ISBN

978-1-315-81559-6

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

2205-2212

Název nakladatele

Taylor & Francis Group

Místo vydání

Londýn

Místo konání akce

Amsterdam

Datum konání akce

29. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000339427103026