Nondestructive Dynamic Process Monitoring Using Electrical Capacitance Tomography

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 321-323)

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., "Nondestructive Dynamic Process Monitoring Using Electrical Capacitance Tomography ", Key Engineering Materials, Vols. 321-323, pp. 1671-1674, 2006

Online since:

October 2006

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Price:

$35.00

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