Identification and classification of dynamic event tree scenarios via possibilistic clustering: Application to a steam generator tube rupture event

This paper illustrates a method to identify and classify scenarios generated in a dynamic event tree (DET) analysis. Identification and classification are carried out by means of an evolutionary possibilistic fuzzy C-means clustering algorithm which takes into account not only the final system state...

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Veröffentlicht in:	Accident analysis and prevention 2009-11, Vol.41 (6), p.1180-1191
Hauptverfasser:	Mercurio, D., Podofillini, L., Zio, E., Dang, V.N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents, Occupational - prevention & control Algorithms Cluster Analysis Clustering Computer Simulation Dynamic event tree Dynamic safety assessment Fuzzy Fuzzy Logic Humans Nuclear Power Plants Possibilistic Probabilistic safety assessment Safety Management - methods Steam
Online-Zugang:	Volltext
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