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

• 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/87264/1/Preliminary%20study%20on%20fault%20detection%20using%20artificial%20neural%20network%20.pdf; http://psasir.upm.edu.my/id/eprint/87264/; https://journal.ump.edu.my/jmes/article/view/2812

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...