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Nabeshima, Kunihiko; Ayaz, E.*; Seker, S.*; Barutcu, B.*; T
rkcan, E.*
Proceedings of International Conference on Artificial Neural Networks and the International Conference on Neural Information Processing (ICANN/ICONIP 2003), p.406 - 409, 2003/06
On-line plant monitoring system with neural networks and an expert system has been developed for Borssele Nuclear Power Plant (NPP) in the Netherlands. The feedforward and the recurrent neural networks are utilized for plant modeling and anomaly detection. The rule-based expert system is applied for plant diagnosis with the outputs of the neural networks. The off-line results showed that the neural network could model the plant dynamics precisely. The on-line results indicated that the monitoring system could sufficiently diagnose the plant status in real time.
Nabeshima, Kunihiko; Suzudo, Tomoaki; Ono, Tomio*; Kudo, Kazuhiko*
Mathematics and Computers in Simulation, 60(3-5), p.233 - 244, 2002/09
Times Cited Count：15 Percentile：69.77(Computer Science, Interdisciplinary Applications)This study presents a hybrid monitoring system for nuclear reactor utilizing neural networks and a rule-based real-time expert system. The whole monitoring system including a data acquisition system and the advisory displays has been tested by an on-line simulator of pressurized water reactor. From the testing results, it was shown that the neural network in the monitoring system successfully modeled the plant dynamics and detected the symptoms of anomalies earlier than the conventional alarm system. The real-time expert system also worked satisfactorily in diagnosing and displaying the system status by using the outputs of neural networks and a priori knowledge base.
Nabeshima, Kunihiko; Suzudo, Tomoaki; Ono, Tomio*; Kudo, Kazuhiko*
Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, p.1506 - 1510, 2001/09
no abstracts in English
JAERI-Review 98-022, 265 Pages, 1998/11
JAERI-Review-98-022.pdf:12.29MB
no abstracts in English
JAERI-Review 97-011, 338 Pages, 1997/10
JAERI-Review-97-011.pdf:11.71MB
no abstracts in English
JAERI-Review 96-012, 292 Pages, 1996/09
JAERI-Review-96-012.pdf:9.91MB
no abstracts in English
*; *; Fujii, Terushige*; *; *; *; Matsubayashi, Masahito; Tsuruno, Akira
Fifth World Conf. on Neutron Radiography, 0, p.623 - 629, 1996/00
no abstracts in English
Nabeshima, Kunihiko; Suzuki, Katsuo; Nose, Shoichi*; *
Monitoring and Diagnosis Systems to Improve Nuclear Power Plant Reliability and Safety, 0, p.17 - 26, 1996/00
no abstracts in English
*; *; Fujii, Terushige*; *; *; *; Matsubayashi, Masahito; Tsuruno, Akira
Nuclear Instruments and Methods in Physics Research A, 377, p.170 - 173, 1996/00
Times Cited Count：0 Percentile：0.01(Instruments & Instrumentation)no abstracts in English
Nabeshima, Kunihiko; Suzuki, Katsuo; E.Tuekcan*
SMORN-VII,Symp. on Nuclear Reactor Surveillance and Diagnostics,Vol. 1, 0, P. 4_1, 1995/00
no abstracts in English
B.H.Far*; *
IEEE Trans. Syst. Man Cybern., 23(1), p.14 - 30, 1993/01
no abstracts in English
B.H.Far*
JAERI-M 92-058, 79 Pages, 1992/04
no abstracts in English
B.H.Far*; *
1991-Nendo Jinko Chino Gakkai Zenkoku Takai (Dai-5-Kai) Rombunshu, p.685 - 688, 1991/00
no abstracts in English
; ; *
JAERI-M 85-023, 74 Pages, 1985/03
no abstracts in English
; ; ;
JAERI-M 83-162, 25 Pages, 1983/10
no abstracts in English
*; Shinohara, Yoshikuni
Nucl.Saf., 24(2), p.210 - 212, 1983/00
no abstracts in English
;
JAERI-M 82-009, 43 Pages, 1982/03
no abstracts in English
; Shinohara, Yoshikuni; *; *; *; Nishihara, Hideaki*; *; *; Tamura, Seiji*; *
Nihon Genshiryoku Gakkai-Shi, 24(3), p.188 - 198, 1982/00
Times Cited Count：0 Percentile：0.02(Nuclear Science & Technology)no abstracts in English
JAERI-M 9672, 172 Pages, 1981/09
no abstracts in English
Nihon Genshiryoku Gakkai-Shi, 23(9), p.657 - 665, 1981/00
Times Cited Count：0 Percentile：0.02(Nuclear Science & Technology)no abstracts in English
