Analysis of Water Volume Changes and Temperature Measurement Location Effect to the Accuracy of RTP Power Calibration

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 detect faults in the process plant and alert for any safe point breach. This work was carried out to discover the use of an artificial neural network (ANN) to model and develop a fault detection programme in the RTP cooling system. Using actual data from the reactor to train the multilayer network model with backpropagation algorithm. Referring to the real data from the reactor, the simulation results demonstrate a good correlation between the proposed model using ANN and the real plants with a residual mean of below 1%. The preliminary results for fault detection show that ANN was able to predict the value of failure in residual factor by comparing the normal state and fault state of the plant. The proposed model using ANN method proofed that it could quickly diagnose the single fault and perform for any given failure. The research outcome could contribute to the improvement in frontier technologies and advanced manufacturing in Malaysia.

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“…It contains 8.5% to 20% uranium 235. The ration of hydrogen to zirconium atom is 1.6 [20]. Table 1 shows the exact specification of RTP:…”

Section: Description Of the Rtpmentioning

confidence: 99%

“…In Malaysian Nuclear Agency (MNA), a lot of work and research have been done regarding safety issues of RTP [11,18,19]. However, specific method to predict system failures at the RTP is still unavailable.…”

Section: Introductionmentioning

confidence: 99%

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

Karim

Lanyau

Maskin

et al. 2020

JMES

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“…In addition to producing neutron, RTP also provides beam experiment, isotope production, neutron activation analysis, and training. A demineralised light water has been used as a coolant to reject heat and act as a moderator to slow down the neutron speed [5,6]. The RTP involves complex and nonlinear process, which are significantly related to the power reactor level control.…”

Section: Introductionmentioning

confidence: 99%

TRIGA PUSPATI reactor: model analysis and accuracy

Abdullah

Soh

Noor

et al. 2020

IJEECS

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<p>There are many challenging issues with research reactor, such as time variation and uncertainty. Since its first criticality in 1982, the biggest changes in TRIGA PUSPATI Reactor system is the replacement of instrumentation and control console system from analogue to digital in 2013. Apart from providing methods of controlling the power reactor via the control rod movement, the Instrumentation and Control Console System also provides monitoring and display for all reactor parameters to protect the reactor from undue influences or abnormal circumstances. Meanwhile, the simulation model of the TRIGA PUSPATI Reactor system has been developed in the Simulink-MATLAB. The simulation model development is based on the research reactor mathematical representatives and the real plant parameters of TRIGA PUSPATI Reactor. However, the performance of this simulation model needs to be evaluated. Since there is no report or paper work found on the performance of the simulation model to represent the real system of RTP, the present study aims to carry out an analysis for more rigorous understanding of the TRIGA PUSPATI Reactor model simulation through validation and verification methods. After analysing the result, it was found that the simulation model has a good representation of a real plant.</p>

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Analysis of Water Volume Changes and Temperature Measurement Location Effect to the Accuracy of RTP Power Calibration

Cited by 2 publications

References 3 publications

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

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

TRIGA PUSPATI reactor: model analysis and accuracy

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