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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

JN - Civil engineering

OECD FORD branch

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Project

<a href="/en/project/TE01020068" target="_blank" >TE01020068: Centre of research and experimental development of reliable energy production</a><br>

Continuities

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

Publication year

2014

Confidentiality

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

Article name in the collection

Safety, Reliability and Risk Analysis: Beyond the Horizon

ISBN

978-1-315-81559-6

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

2205-2212

Publisher name

Taylor & Francis Group

Place of publication

Londýn

Event location

Amsterdam

Event date

Sep 29, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000339427103026