Bayesian Belief Network Model Quantification Using Distribution-Based Node Probability and Experienced Data Updates for Software Reliability Assessment

Since digital instrumentation and control systems are expected to play an essential role in safety systems in nuclear power plants (NPPs), the need to incorporate software failures into NPP probabilistic risk assessment has arisen. Based on a Bayesian belief network (BBN) model developed to estimate...

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Bibliographic Details
Main Authors: Seung Jun Lee, Sang Hun Lee, Tsong-Lun Chu, Athi Varuttamaseni, Meng Yue, Ming Li, Jaehyun Cho, Hyun Gook Kang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8510804/