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International Society for Industrial Process Tomography

9th World Congress on Industrial Process Tomography

Cuckoo Search Optimization Algorithm for Boundary Estimation Problems in Electrical Impedance Tomography


S. K. Konki1, A. K. Khambampati2, Y. J. Han1, K. Y. Kim3*


1Faculty of Applied Energy System, Major of Electronic Engineering, Jeju National University, Jeju, South Korea

2BK21+ Clean Energy Convergence and Integration Center for Human Resources Training and     Education, Jeju National University, Jeju, South Korea

3Department of Electronic Engineering, Jeju National University, Jeju, South Korea


*Email: kyungyk@jejunu.ac.kr



ABSTRACT


Estimating the phase boundary in two phase flow is very important for the design and optimization of the industrial flow processes. Electrical impedance tomography (EIT) is promising imaging technique for monitoring the two phase flow. Cuckoo search algorithm is a meta-heuristic algorithm. However, it has proven to very easily fall into local optimal solutions and has a slow rate of convergence. In this paper, a cuckoo search optimization algorithm is proposed to estimate the phase boundary in two phase flow using EIT. Boundary of phase is parameterized using the Fourier series approach. Fourier coefficients are estimated by the cuckoo search algorithm. Then cuckoo search algorithm is used iteratively to seek the phase boundary configuration by minimizing a cost function. The Computer simulation results demonstrate the performance of the proposed method to estimate boundary of phase in two phase flow.


Keywords cuckoo search algorithm, electrical impedance tomography, Lévy flight mechanism, phase boundary estimation, two phase flow


Industrial Application General

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