Papers

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Improving the Efficiency of Dynamic Probabilistic Risk Assessment with Monte Carlo Tree Search and Importance Sampling

10:00–10:20AM PDT

Joseph O'Leary (Univ. Maryland), Yunfei Zhao (Univ. Maryland)

Paper

Towards a Deep-Learning based Heuristic for Optimal Variable Ordering in Binary Decision Diagrams to Support Fault Tree Analysis

10:20–10:40AM PDT

Arjun Earthperson (NCSU), Egemen M. Aras (NCSU), Asmaa A. Farag (NCSU), Mihai A. Diaconeasa (NCSU)

Paper

Quantifying Safety System Unavailability Margins via Inverse Estimation of Event Sequence Frequencies

10:40–11:00AM PDT

Arjun Earthperson (NCSU), Priyanka M. Pandit (NCSU), Mihai A. Diaconeasa (NCSU)

Paper

Markov Decision Processes for Intelligent, Risk-Informed Asset-Management Decision-Making

11:00–11:20AM PDT

David Grabaskas (ANL), Yunfei Zhao (Ohio State), Carol Smidts (Ohio State), Vera Moiseytseva (ANL), Roberto Ponciroli (ANL), Pascal Brocheny (Framatome)

Paper

Data Updating Model Development with Bayesian Inference for Data Analysis for Probabilistic Risk Assessment Application

11:20–11:40AM PDT

Joomyung Lee (NCSU), Rawan Mustafa (NCSU), Mostafa Hamza (NCSU), Olivier Retourne (X-energy), Huafei Liao (X-energy), Glen Lawson (X-energy), Mihai A. Diaconeasa (NCSU)

Paper