In this study, we propose kinematic models for dynamic electrical impedance tomography (EIT) shape estimation of regions of known resistivities based on extended Kalman filter(EKF). The EIT inverse problem is formulated as a state estimation problem i...
In this study, we propose kinematic models for dynamic electrical impedance tomography (EIT) shape estimation of regions of known resistivities based on extended Kalman filter(EKF). The EIT inverse problem is formulated as a state estimation problem in which the system is modeled with the state equation and the observation equation. We are especially interested in the estimation of shape of air bubbles and conductive liquid in the industrial process pipelines. The proposed kinematic models are tested with computer simulations. From the simulations, we achieve a promising performance of this approach.