Preliminary study on fault detection using artificial neural network for water-cooled reactors

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Preliminary study on fault detection using artificial neural network for water-cooled reactors

In the PUSPATI TRIGA reactor (RTP), many variables and instruments need to be monitored to make sure it is functioning and running accordingly. The late detection of faults may result in accidents and affect workers’ safety and health. Therefore, an intelligent fault detection system is needed to de...

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Bibliographic Details
Main Authors:	Abdul Karim, Julia, Lanyau, Tony, Maskin, Masleha, Anuar, M. A. S., Che Soh, Azura, Abdul Rahman, Ribhan Zafira
Format:	Article
Language:	English
Published:	UMP Press 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/87264/ http://psasir.upm.edu.my/id/eprint/87264/1/Preliminary%20study%20on%20fault%20detection%20using%20artificial%20neural%20network%20.pdf

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