Cuckoo search optimization algorithm for boundary estimation problems in electrical impedance tomography
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Estimating the phase boundary in two-phase flow is crucial for designing and optimizing industrial processes. Electrical impedance tomography (EIT) is a promising technique for imaging phase distribution in such flows. Thispaper proposes using a cuckoo search (CS) optimization algorithm to estimate the phase boundary with EIT. Theboundary is parameterized using the Fourier series, and the coefficients are determined by the CS algorithm. TheCS algorithm iteratively seeks the phase boundary configuration by minimizing a cost function. Computersimulations and phantom experiments demonstrate the effectiveness of this method in estimating phase boundariesin two-phase flow.
Abstract
Estimating the phase boundary in two-phase flow is crucial for designing and optimizing industrial processes. Electrical impedance tomography (EIT) is a promising technique for imaging phase distribution in such flows. Thispaper proposes using a cuckoo search (CS) optimization algorithm to estimate the phase boundary with EIT. Theboundary is parameterized using the Fourier series, and the coefficients are determined by the CS algorithm. TheCS algorithm iteratively seeks the phase boundary configuration by minimizing a cost function. Computersimulations and phantom experiments demonstrate the effectiveness of this method in estimating phase boundariesin two-phase flow.
참고문헌 (35)
- F. A. Holand, "Fluid Flow for Chemical Engineers" (1995), Edward Arnold Publisher
- R. H. Perry, "Perry’s Chemical Engineers Handbook" (1997), McGraw-Hill
- K. A. Shollenberger, "Gamma-Densitometry Tomography of Gas Holdup Spatial Distribution and Industrial-Scale Bubble Column", Chem. Eng. Sci., 52, pp.2037~2048 (1999)[DOI]
- L. Xu, "Application of Ultrasonic Tomography to Monitoring Gas", Liquid Flow, 1997, pp.52, 2171~2183
- L. F. Gladden, "Application of Nuclear Magnetic Resonance Imaging in Process Engineering", Meas. Sci. Technol, 7, pp.423~435 (1996)[DOI]
- J. G. Webster, "Electrical impedance tomography" (1990), Taylor & Francis Group
- M. Cheney, "Electrical impedance tomography", SIAM review, 41(1), pp.85~101 (1999)[DOI]
- R. Stacey, "Electrical impedance tomography (eit) technique for realtime saturation monitoring", SPE Annual Technical Conference and Exhibition (2006), Society of Petroleum Engineers
- V. Kolehmainen, "Estimation of non-stationary region boundaries in EIT-state estimation approach", Inverse Problems, 17(6), pp.1937~ (2001)[DOI]
- D. K. Han, "A shape Decomposition Technique in Electrical Impedance Tomography", J. Comput. Phys, 155(1), pp.75~95 (1999)[DOI]
- J. E. Butler, "Inverse Method for Imaging a Free Surface using Electrical Impedance Tomography", Chem. Eng. Sci, 55(7), pp.1193~1204 (2000)[DOI]
- S. Kim, "Moving interfacial boundary estimation in stratifed flow of two immiscible liquids using electrical resistance tomography", Measurement Science and Technology, 18(5), pp.1257~ (2007)[DOI]
- A. K. Khambampati, "A boundary element method to estimate the interfacial boundary of two immiscible stratifed liquids using electrical resistance tomography", Chemical Engineering Science, 95, pp.161~173 (2013)[DOI]
- O-P. Tossavainen, "Estimating Shape and Free Surfaces with Electrical Impedance Tomography", Meas. Sci. Technol, 15(7), pp.1402~1411 (2004)[DOI]
- E. Beretta, "Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in eit", Journal of Computational Physics, 353, pp.264~280 (2018)[DOI]
- D. Liu, "Multiphase conductivity imaging with electrical impedance tomography and b-spline level set method", IEEE Trans Instrum Meas, 69(12), pp.9634~9644 (2020)[DOI]
- M. C. KIM, "Estimation of phase boundaries in two-phase systems by an electrical impedance tomography technique", Journal of Industrial and Engineering Chemistry, 10(5), pp.710~716 (2004)
- D. Liu, "Shape driven eit reconstruction using fourier representations", IEEE Trans Med Imaging, 40(2), pp.481~490 (2020)[DOI]
- B. S. Kim, "Nonstationary phase boundary estimation in electrical impedance tomography based on the interacting multiple model scheme", Measurement Science and Technology, 18(1), pp.62~ (2006)[DOI]
- A. K. Khambampati, "An effcient method to determine the size of bladder using electrical impedance tomography", TENCON 2018~2018IEEE Region 10 Conference. IEEE, pp.1933~1936 (2018)
- D. Liu, "Multi-phase flow monitoring with electrical impedance tomography using level set based method", Nuclear Engineering and Design, 289(2015), pp.108~116 (2015)[DOI]
- D. Liu, "Nonstationary shape estimation in electrical impedance tomography using a parametric level set based extended kalman filter approach", IEEE Trans Instrum Meas, 69(5), pp.1894~1907 (2020)[DOI]
- D. Liu, "A moving morphable components based shape reconstruction framework for electrical impedance tomography", IEEE Trans Med Imaging, 38(12), pp.2937~2948 (2019)[DOI]
- D. Liu, "Shape reconstruction using boolean operations in electrical impedance tomography", IEEE Trans Med Imaging, 39(9), pp.2954~2964 (2020)[DOI]
- U. Z. Ijaz, "Particle swarm optimization technique for elliptic region boundary estimation in electrical impedance tomography", AIP Conference Proceedings, American Institute of Physics, 914(1), pp.896~901 (2007)[DOI]
- R. R. Ribeiro, "Reconstruction of electrical impedance tomography images using genetic algorithms and non-blind search", 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI). IEEE (2014)
- A. K. Khambampati, "Phase Boundary Estimation in Electrical Impedance Tomography using Hooke and Jeeves Pattern Search method", Meas. Sci. Technol, 21(3), pp.035501~ (2010)[DOI]
- S. K. Sharma, "Bladder boundary estimation by gravitational search algorithm using electrical impedance tomography", IEEE Transactions on Instrumentation and Measurement, 69(12), pp.9657~9667 (2020)[DOI]
- S. K. Sharma, "Hybrid Particle Swarm Optimization–Gravitational Search Algorithm Based Detection of Graphene Defects With Electrical Impedance Tomography", IEEE Access, 10, pp.105744~105757 (2022)[DOI]
- A. S. Ashour, "Computed tomography image enhancement using cuckoo search : a log transform based approach", Journal of Signal and Information Processing, 6(3), pp.244~257 (2015)[DOI]
- H. L. Chen, "Improved cuckoo search algorithm for solving inverse geometry heat conduction problems", Heat Transfer Engineering, 40(3-4), pp.362~374 (2019)[DOI]
- S. Chen, "A parameter estimation method for nonlinear systems based on improved boundary chicken swarm optimization", Discrete Dynamics in Nature and Society, 2016(1), pp.3795961~ (2016)[DOI]
- X. S. Yang, "Cuckoo search via Lévy flights", 2009 World congress on nature &biologically inspired computing (NaBIC). Ieee (2009)
- X. S. Yang, "Engineering optimisation by cuckoo search", International Journal of Mathematical Modelling and Numerical Optimisation, 1(4), pp.330~343 (2010)[DOI]
- A. Kaveh, "An efficient optimization procedure based on cuckoo search algorithm for practical design of steel structures", International Journal of Optimization in Civil Engineering, 2(2), pp.1~4 (2012)
