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MATLAB simulation for loss of flow (LOF) in reactor TRIGA Puspati (RTP)


Anuar, Mohd Azrol Syafiee and Abdul Rahman, Ribhan Zafira and Che Soh, Azura and Mohd Noor, Samsul Bahari and Abdul Karim, Julia and Maskin, Mazleha and Thangavelu, Thinagaran (2019) MATLAB simulation for loss of flow (LOF) in reactor TRIGA Puspati (RTP). Open International Journal of Informatics, 7 (2 spec.). pp. 45-55. ISSN 2289-2370


TRIGA Puspati Reactor is a nuclear reactor situated atMalaysia Nuclear Agency, Bangi. The reactor hasgoneto emergency shutdown when there is a fault. However, the pattern of the fault can be recognized and be diagnosed in the early stages before leading to shut down that can helpful for repairing and future maintenance.This project modelledtheplant system based on real data, and to investigate itsbehaviourinidentifyingthe fault by obtaining residual. The project explores the way of modellingusing system identification and a plant with a compensator model to achieve the required results. Data areobtained from the Malaysia Nuclear Agency based on the actual reactor. Two separate data sets, one set of data as validation and the other isused to form the transfer function. Once the normal condition model is done, by using the same specifications fault model is developed with the same number of poles and zeroes.The residual is found by subtracting the output of the normal model with the fault modelwhere it can form a pattern of fault. The fault created in the simulation by allowing the valve opening of water flow to the reactor by25%, 50% and 75% at the cooling system of the reactor. It was found that the residual for 25% valve opening is the largest dueto lower water flows from the heat exchanger lead to increase of temperature and pressure.For 50% valve opening, it is a middle-class fault and the residual created is smaller than the 25% valve opening but the value of temperature and pressure is still considerably high. So, the residual is still large but smaller than the residual for 25%. As for 75%valve opening the system outputhave longer oscillation. The temperature output is not that large compared to normal operation, but the system is observed to be still rising which means it has not reached a steady state yet. In this project, the residual value for these three different faults is observed and able to identify the severity of fault due to valve opening.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Teknologi Malaysia
Keywords: Prediction model; Fault diagnosing; Residual analysis
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 08 Oct 2021 03:06
Last Modified: 08 Oct 2021 03:06
URI: http://psasir.upm.edu.my/id/eprint/81297
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