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Nondestructive Dynamic Process Monitoring Using Electrical Capacitance Tomography

Journal Key Engineering Materials (Volumes 321 - 323)
Volume Advanced Nondestructive Evaluation I
Edited by Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi
Pages 1671-1674
DOI 10.4028/www.scientific.net/KEM.321-323.1671
Citation U.Z. Ijaz et al., 2006, Key Engineering Materials, 321-323, 1671
Online since October, 2006
Authors U.Z. Ijaz, J.H. Kim, M.C. Kim, Sin Kim, J.W. Park, K.Y. Kim
Keywords Electrical Capacitance Tomography (ECT), Extended Kalman Filter (EKF), Nondestructive Monitoring, Online Reconstruction
Abstract

In this paper, we propose a dynamic Electrical Capacitance Tomography (ECT) image reconstruction algorithm based on the extended Kalman filter (EKF) to estimate the rapidly time-varying changes in the permittivity within the time taken to acquire a full set of independent measurement data. The ECT inverse problem is formulated as a state estimation problem in which the system is modeled with the state equation and the observation equation. Computer simulation with synthetic data is provided and comparison is done with existing modified Newton Raphson (mNR) method to illustrate the reconstruction performance of the proposed algorithm.

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