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Risk Analysis of Fire Protection System Using Bayesian Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F99%3A07020239" target="_blank" >RIV/68407700:21610/99:07020239 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Risk Analysis of Fire Protection System Using Bayesian Networks

  • Original language description

    Bayesian belief network is used to analyze a fire protective system. Typical nodes of the network include fire start, detection, tampering, sprinklers, smoke detection, fire brigade, fire flashover, and structural failure. Performance of a fire protective system is characterized by appropriate causal links and input conditional probabilities. The decision nodes and utility nodes are implemented to enable fire risk assessment. It appears that Bayesian belief networks provide an effective tool to analyzedfire protective systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JN - Civil engineering

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    1999

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings - 9th Annual Conference Risk Analysis

  • ISBN

    90-407-1954-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Delft University Press

  • Place of publication

    Delft

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article