Online monitoring and accident diagnosis aid system for the Nur Nuclear Research Reactor

Authors

AMINA NASRINE ALLALOU
MOHAMED TADJINE
MOHAMED SEGHIR BOUCHERIT

DOI

10.3906/elk-1401-272

Abstract

This paper deals with the design of a computerized monitoring and diagnosis aid system (CMDAS) for the Nur Nuclear Research Reactor based on real-time plant-specific safety parameters. The CMDAS carries out early detection and identification of accidents that might affect this reactor using supervised neural networks. The graphical programming language LabVIEW is used for creating a human--operator interface, networking, embedding the diagnosis procedure, and handling and storing the data. The methodology presented in this paper can be adapted for any nuclear research reactor.

Keywords

Accidents, artificial neural networks, computer aided diagnosis, Nur Nuclear Research Reactor, LabVIEW

First Page

1604

Last Page

1614

Recommended Citation

ALLALOU, AMINA NASRINE; TADJINE, MOHAMED; and BOUCHERIT, MOHAMED SEGHIR (2016) "Online monitoring and accident diagnosis aid system for the Nur Nuclear Research Reactor," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24: No. 3, Article 65. https://doi.org/10.3906/elk-1401-272
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss3/65