ECT image reconstruction based on the generalized vector sampled pattern matching method

Abstract

Electrical capacitance tomography (ECT) is a new technology for testing parameters of solid-air two-phase flow during the past decades. The key technique of ECT is the fast and accurate image reconstruction. In this paper, the principle and measuring process of ECT were elaborated, the reconstruction algorithm called generalized vector sampled pattern matching (GVSPM) method was used in two-phase flow particle concentration visualization. GVSPM method achieves accurate reconstruction by using an objective function that is calculated as the inner product calculation between the experimental capacitance and the reconstructed image capacitance. Mathematica simulation results showed that this method proved superior in the three parameters of capacitance residual, image error and image correlation, compared with the linear back projection (LBP) method. Using the GVSPM method, the soft-field effect and the ill-posed inverse problem in ECT technology can be effectively conquered, meanwhile, the reconstructed image has the advantages of high spatial resolution and low distortion.