Bayesian networks make LOPA more effective, QRA more transparent and flexible, and thus safety more definable!

Journal of Loss Prevention in the Process Industries

Volumn 26, Issue 3, 2013, Pages 434-442

  Pasman, Hans ^a   Rogers, William ^a  

^a Texas AandM University   (United States)

Author keywords

Bayesian networks; Cost benefit; Process safety; Risk analysis; Software tools

Indexed keywords

BAYESIAN APPROACHES; CONTINUOUS DISTRIBUTION; COST-BENEFIT; DISCRETE RANDOM VARIABLES; INITIATING EVENTS; PROCESS SAFETY; QUANTITATIVE RISK ANALYSIS; UNIVERSITY OF PITTSBURGH;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; COMPUTER AIDED SOFTWARE ENGINEERING; PROBABILITY DISTRIBUTIONS;

RISK ANALYSIS;

EID: 84876743028     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2012.07.016     Document Type: Article

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