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

Author:

Pasman Hans,Rogers William

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference18 articles.

1. GeNIe (graphical network interface) and SMILE (structural modeling, inference, and learning engine);DSL,2010

2. Gheorghe, M. (August 2010). Non parametric Bayesian belief nets (NPBBNs) versus ensemble Kalman filter (EnKF) in reservoir simulation. MSc thesis, Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics. http://risk2.ewi.tudelft.nl/research-and-publications/cat_view/74-master-theses/116-academic-year-2010.

3. Hanea, A. M. (2008). Algorithms for non-parametric Bayesian belief nets. PhD thesis, Department of Mathematics, Delft University of Technology.

4. Mixed non-parametric continuous and discrete Bayesian belief nets. Advances in mathematical modeling for reliability;Hanea,2008

5. Hybrid method for quantifying and analyzing Bayesian belief nets;Hanea;Quality and Reliability Engineering International,2006

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