Atıf İçin Kopyala
NABESHIMA K., SUZUDO T., ŞEKER Ş. S., AYAZ E., BARUTÇU B., TÜRKCAN E., ...Daha Fazla
Progress In Nuclear Energy, cilt.43, sa.1-4, ss.397-404, 2003 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
43
Sayı:
1-4
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Basım Tarihi:
2003
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Doi Numarası:
10.1016/s0149-1970(03)00051-9
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Dergi Adı:
Progress In Nuclear Energy
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Sayfa Sayıları:
ss.397-404
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Anahtar Kelimeler:
on-line plant monitoring, neural network, expert system, pressurized water reactor (PWR), anomaly detection, plant diagnosis, electric power coefficient
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İstanbul Teknik Üniversitesi Adresli:
Evet
Özet
A new method for an on-line monitoring system for the nuclear power plants has been developed utilizing the neural networks and the expert system. The integration of them is expected to enhance a substantial potential of the functionality as operators support.