Nuclear power plant monitoring with MLP and RBF network

Kunihiko Nabeshima*, Emine Ayaz, Serhat Seker, Burak Barutcu, Erdinc Turkcan, Kazuhiko Kudo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The monitoring system with MLP and RBF network has been developed for NPP. MLP is used to detect the symptom of anomalies and RBF network is used to identify the abnormal events. From the off-line test results using PWR simulator, it is clear that the monitoring system can successfully detect and diagnose small anomalies earlier than the conventional alarm system.

Original languageEnglish
Title of host publicationApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages557-560
Number of pages4
ISBN (Print)9812388737, 9789812388735
DOIs
Publication statusPublished - 2004
EventApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference - Blankenberge, Belgium
Duration: 1 Sept 20043 Sept 2004

Publication series

NameApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference

Conference

ConferenceApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
Country/TerritoryBelgium
CityBlankenberge
Period1/09/043/09/04

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