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Bayesian Network Application for the Risk Assessment of Existing Energy Production Units

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F16%3A00239073" target="_blank" >RIV/68407700:21610/16:00239073 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SMRLO.2016.116" target="_blank" >http://dx.doi.org/10.1109/SMRLO.2016.116</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMRLO.2016.116" target="_blank" >10.1109/SMRLO.2016.116</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bayesian Network Application for the Risk Assessment of Existing Energy Production Units

  • Original language description

    A Bayesian network is applied to assess the risks of a selected production unit in a fossil power station. A general framework for the risk assessment of production units of a power station is presented first by implementing statistical methods and Bayesian networks. Special emphasis is given to the input data consisting of failure rates which are obtained on the basis of recorded data and expert judgements. The consequences of failure are divided into economical and human (societal): economic consequences include outages of key technological devices; societal consequences cover potential injuries and fatalities. Probabilistic risk assessment methods are applied to the selected production unit of a power station.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JN - Civil engineering

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management

  • ISBN

    978-1-4673-9941-8

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    656-664

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Beer Sheva

  • Event date

    Feb 15, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000386833900105