Image reconstruction of electrical capacitance tomography based on optimal simulated annealing algorithm using orthogonal test method

• Published in: Flow measurement and instrumentation Vol. 80; p. 101996
• Main Authors: Zhang, Lifeng, Zhang, Menghan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2021
• Subjects: Electrical capacitance tomography; Image reconstruction; Orthogonal experiment; Simulated annealing algorithm; Two-phase flow; Simulated annealing algorithm; Orthogonal experiment; Electrical capacitance tomography; Two-phase flow; Image reconstruction
• ISSN: 0955-5986; 1873-6998
• DOI: 10.1016/j.flowmeasinst.2021.101996

Electrical capacitance tomography (ECT) is a visualization measurement method for two-phase flow. Imaging permittivity distributions using electrical capacitance tomography has always been one of the most significant issues studied by scholars, and the algorithm will have a great impact on the accuracy of image reconstruction result. This paper applies simulated annealing (SA) algorithm to image reconstruction in ECT. However, some parameters of SA algorithm need to be optimized in order to obtain better reconstructed images in ECT. The influence of different parameter values in SA algorithm for image reconstruction in ECT is studied, and a set of optimal parameters of the SA algorithm is obtained based on the orthogonal experimental design method in this paper. At the same time, simulation and static experiments are conducted. Reconstructed images by SA algorithm with optimized parameter are compared with the linear back projection (LBP) and Landweber iterative algorithms. The results show that better images can be obtained for typical oil-gas two-phase flow using SA algorithm. The quality and shape fidelity of reconstructed image for the central object are obviously improved. •Proposing a novel ECT image reconstruction algorithm.•Studying the effect of parameters selection on the accuracy of reconstructed images.•Getting the optimal parameter combination based on orthogonal experimental design.•Performing simulation and static experiments to verify the effect of the algorithm.•Comparing the accuracy of the images reconstructed by three algorithms.