Multivariate Image Analysis for Core Monitoring in PWRs
Mohsen, M., Nagla, T., Elsamahy, M., Abdel-Rahman, M. (2023). Multivariate Image Analysis for Core Monitoring in PWRs. EKB Journal Management System, 20(20), 1-11. doi: 10.1088/1742-6596/2616/1/012059
Mohamed Y.M. Mohsen; Tarek F. Nagla; Mohamed Elsamahy; Mohamed A.E. Abdel-Rahman. "Multivariate Image Analysis for Core Monitoring in PWRs". EKB Journal Management System, 20, 20, 2023, 1-11. doi: 10.1088/1742-6596/2616/1/012059
Mohsen, M., Nagla, T., Elsamahy, M., Abdel-Rahman, M. (2023). 'Multivariate Image Analysis for Core Monitoring in PWRs', EKB Journal Management System, 20(20), pp. 1-11. doi: 10.1088/1742-6596/2616/1/012059
Mohsen, M., Nagla, T., Elsamahy, M., Abdel-Rahman, M. Multivariate Image Analysis for Core Monitoring in PWRs. EKB Journal Management System, 2023; 20(20): 1-11. doi: 10.1088/1742-6596/2616/1/012059

Multivariate Image Analysis for Core Monitoring in PWRs

International Conference on Aerospace Sciences and Aviation Technology
Volume 20, Issue 20, May 2023, Page 1-11  XML PDF (1.33 MB)
Document Type: Original Article
DOI: 10.1088/1742-6596/2616/1/012059
View on SCiNiTO View on SCiNiTO
Authors
Mohamed Y.M. Mohsen email 1; Tarek F. Nagla2; Mohamed Elsamahy3; Mohamed A.E. Abdel-Rahman1
1Military Technical College, Nuclear Engineering Department, Cairo, Egypt.
2Nuclear Engineering Department, Faculty of Eng., Alex. University, Alex., Egypt.
3University of Saskatchewan, Saskatoon, SK, Canada.
Abstract
In pressurized water reactor (PWR) it is crucial for the operator to monitor the reactor parameters at the same time, such as temperature, pressure, boron concentration, control rod position, coolant density, etc., in order to make proper decision. However, the huge size of data reading from the different instrumentations, in addition to the limited human ability to visually detect, interpret, assess add a lot of uncertainty to the operator qualitative and quantitative analysis of the reactor performance. Therefore, this paper proposes the utilization of radial thermal flux maps (Neutron Images) technique, positioned on the reactor core as a sensitive monitoring technique for all changes of the reactor parameters as a result of the position of the control rods changing. Hence, the features contained in these neutron images are extracted (Multivariate image analysis and regression) via Principal Component Analysis (PCA), and Cluster Analysis (Dendrogram). To determine the effectiveness of the suggested technique in determining the location of the control-rods, several simulations are run. The 3D TRITON FORTRAN-code was utilized to simulate the radial thermal neutron flux of the Westinghouse 2775-MWth PWR benchmark at 100% thermal power generation. The SIMCA software programme is used to develop, test, and generalise the PCA model. Additionally, clustering analysis (CA) is carried out using the statistics software programme Minitab in order to demonstrate the effectiveness of the suggested method.
Keywords
Chemometrics; Control rod position; PCA, Neutron Flux, Neutron Image, Dendrogram
Statistics
Article View: 11
PDF Download: 9