کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
806063 905259 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An analytical approach to quantitative effect estimation of operation advisory system based on human cognitive process using the Bayesian belief network
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
An analytical approach to quantitative effect estimation of operation advisory system based on human cognitive process using the Bayesian belief network
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 93, Issue 4, April 2008, Pages 567–577
نویسندگان
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