Paper Info
Title
An analytical approach to quantitative effect estimation of operation advisory system based on human cognitive process using the Bayesian belief network
Abstract
The design of instrumentation and control (I&C) systems for nuclear power plants (NPPs) is rapidly moving towards fully digital I&C systems and is trending towards the introduction of modern computer techniques into the design of advanced main control rooms (MCRs) of NPPs. In the design of advanced MCRs, human–machine interfaces have improved and various types of decision support systems have been developed. It is important to design highly reliable decision support systems in order to adapt them in actual NPPs. In addition, to evaluate decision support systems in order to validate their efficiency is as important as to design highly reliable decision support systems. In this paper, an operation advisory system based on the human cognitive process is evaluated in order to estimate its effect. The Bayesian belief network model is used in the evaluation of the target system, and a model is constructed based on human reliability analysis event trees. In the evaluation results, a target system based on the operator's cognitive process showed better performance compared to independent decision support systems.
Year
DOI
Venue
2008
10.1016/j.ress.2007.02.004
Reliability Engineering & System Safety
Keywords
DocType
Volume
Advanced main control room,Decision support system,Decision support system evaluation
Journal
93
Issue
ISSN
Citations 
4
0951-8320
2
PageRank 
References 
Authors
0.37
4
3
Name
Order
Citations
PageRank
S LEE120.37
M KIM220.37
Poong-hyun Seong311524.53