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A quantitative safety model of systems subject to low probability high consequence accidents

The thesis introduces a new quantitative safety modelling approach for large scale socio-technical systems that exhibit Low Probability High Consequence (LPHC) accidents. This approach uses Bayesian Belief Networks (BBN) and overcomes inherent difficulties of current methods, difficulties that make these methods incapable of coping with complexities of socio-technical systems.

Identiferoai:union.ndltd.org:ADTP/284101
Date January 2007
CreatorsGreenberg, Reuven
Source SetsAustraliasian Digital Theses Program
LanguageEN-AUS
Detected LanguageEnglish
RightsCopyright 2007 Reuven Greenberg

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