A quantitative safety model of systems subject to low probability high consequence accidents
Files
(Published version)
Date
2007
Authors
Greenberg, Reuven
Editors
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Journal Title
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Volume Title
Type:
thesis
Citation
Statement of Responsibility
Conference Name
Abstract
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.
School/Discipline
University of South Australia Systems Engineering and Evaluation Centre
Systems Engineering and Evaluation Centre
Systems Engineering and Evaluation Centre
Dissertation Note
PhD Doctorate
Provenance
Copyright 2007 Reuven Greenberg
Description
EN-AUS
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506 0#$fstar $2Unrestricted online access