Identification of Fire Modeling Issues Based on an Analysis of Real Events from the OECD FIRE Database | Zendy

Dominik Hermann | Zendy

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Identification of Fire Modeling Issues Based on an Analysis of Real Events from the OECD FIRE Database

Author(s) -

Dominik Hermann

Publication year - 2017

Publication title -

nuclear engineering and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.737

H-Index - 40

eISSN - 2234-358X

pISSN - 1738-5733

DOI - 10.1016/j.net.2017.01.010

Subject(s) - identification (biology) , event (particle physics) , probabilistic logic , database , forensic engineering , risk analysis (engineering) , computer science , engineering , operations research , business , artificial intelligence , physics , botany , quantum mechanics , biology

Precursor analysis is widely used in the nuclear industry to judge the significance of events relevant to safety. However, in case of events that may damage equipment through effects that are not ordinary functional dependencies, the analysis may not always fully appreciate the potential for further evolution of the event. For fires, which are one class of such events, this paper discusses modelling challenges that need to be overcome when performing a probabilistic precursor analysis. The events used to analyze are selected from the Organisation for Economic Cooperation and Development (OECD) Fire Incidents Records Exchange (FIRE) Database

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