Open AccessThe capacitance tomography image reconstruction algorithm based on sensitivity field sensitivity matrix
Author(s) -
Jia Xinxin,
Xiaodong Chai,
Lei Wang,
Hao Zhang,
Xiangchun Li,
Liya Duan,
Xiaoling Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012076
Subject(s) - electrical capacitance tomography , sensitivity (control systems) , iterative reconstruction , tomography , capacitance , algorithm , reconstruction algorithm , laminar flow , matrix (chemical analysis) , inverse problem , flow (mathematics) , inverse , computer science , computer vision , mathematics , engineering , materials science , electronic engineering , physics , optics , electrode , geometry , mathematical analysis , quantum mechanics , composite material , aerospace engineering
Successful applications of ECT technology depend on the speed and precision of the image reconstruction algorithms. The image reconstruction for electrical capacitance tomography (ECT) is an inherently nonlinear and ill-posed inverse problem. To solve the problems, in this paper 12-electrode ECT system was set up to acquire real measurement capacitances under capacitance tomography that based on sensitivity field sensitivity matrix, which is T-LBP. In this paper four typical flow patterns are simulated, such as laminar flow, core flow, annular flow and bubbly flow, which in a circular section pipe. The simulation data indicate that the quality and the error, which was obtained in this paper, of the reconstructed images were better than the corresponding images obtained by the LBP and the Landweber algorithm. This new algorithm presents a feasible and effective way to research on image reconstruction algorithm for the industrial applications of Electrical Capacitance Tomography System.