Authors : H. Kasban, Elsayed H. Ali, Mohamed S. EL-Tokhy and H. Arafa
Abstract: This study is concerned with the characterization and assessment of Residence Time Distribution (RTD) using signal processing algorithms. Besides, implicit and explicit models of the RTD signals are proposed. The experimental system of captured signals includes 99Mo radiotracer, scintillator detector and DAS. Various algorithms are implemented for the analysis of the acquired signal. These algorithms are baseline restoration, background correction, statistical error computation, radioactive decay correction, signal denoising and dead time correction methods. A quantitative and qualitative measure of the proposed algorithms is conducted. Analytical treatment of RTD is investigated that validated through comparison with introduced block diagram models by MATLAB Simulink environment. Additionally, the activity of used radiotracer activity is experimentally measured using Axial Dispersion Flow Model (ADFM) and Tanks in Series Flow Model (TSFM). The total amount of calculated tracer output is found to be of 112018 CPS. The proposed algorithms are observed to achieve a notable precision in the analysis of radiotracer applications.
H. Kasban, Elsayed H. Ali, Mohamed S. EL-Tokhy and H. Arafa, 2021. Improvement of Radiotracer Residence Time Distribution Analysis in Industrial Applications. International Journal of Signal System Control and Engineering Application, 14: 1-17.