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＜departmental bulletin paper＞
The Development of Anomaly Diagnosis Method Using Neuro-Expert for PWR Monitoring System

Creator
Creator Name
Subekti, Muhammad
Affiliation
Affiliation Name
Department of Applied Quantum Physics and Nuclear Engineering : Graduate Student
Author PID
L009545
Creator Name
Ohno, Tomio
Affiliation
Affiliation Name
Department of Applied Quantum Physics and Nuclear Engineering : Researcher
Author PID
K002215
Creator Name
Kudo, Kazuhiko
工藤, 和彦
Affiliation
Affiliation Name
Department of Applied Quantum Physics and Nuclear Engineering : Professor
Creator Name
Nabeshima, Kunihiko
Affiliation
Affiliation Name
Thermal and Fluid Engineering Group, Japan Atomic Energy Agency (JAEA) : Researcher
Language
English
Publisher
九州大学大学院工学研究院
Faculty of Engineering, Kyushu University
Date
2006-12
Source Title
Memoirs of the Faculty of Engineering, Kyushu University
Vol
66
Issue
4
First Page
229
Last Page
239
Publication Type
Version of Record
Access Rights
open access
Related DOI
Memoirs of the Faculty of Engineering, Kyushu University || 66(4) || p229-239
九州大学工学紀要 || 66(4) || p229-239
http://kenkyo.eng.kyushu-u.ac.jp/memoirs-eng/top.php
Related URI
Memoirs of the Faculty of Engineering, Kyushu University || 66(4) || p229-239
九州大学工学紀要 || 66(4) || p229-239
http://kenkyo.eng.kyushu-u.ac.jp/memoirs-eng/top.php
Relation
Memoirs of the Faculty of Engineering, Kyushu University || 66(4) || p229-239
九州大学工学紀要 || 66(4) || p229-239
http://kenkyo.eng.kyushu-u.ac.jp/memoirs-eng/top.php
Abstract The monitoring system for a huge and complex Pressurized Water Reactor (PWR) is one of the most important tasks but difficult due to dynamic system with a lot of plant signals. The research performed ...previously a development of PWR monitoring system integrated with data acquisition system. The combination of neural network and expert system (neuro-expert) is utilized to improve the time-process of anomaly detection. The advanced research considered the online anomaly diagnosis using expert system to complete the monitoring system tasks.show more

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Details

Record ID
3305
Peer-Reviewed
Refereed
Subject Terms
Pressurized water reactor
Real-time
Monitoring system
Back propagation
Neural network
Anomaly detection
ISSN
1880-148X
NCID
AA11481788
Type
紀要論文
Created Date 2009.04.22
Modified Date 2017.01.23
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