Soleimani, M. and Ma, X. and Peyton, A. J. (2007) Dynamic magnetic induction tomography imaging of molten metal flow using the Kalman filter. In: 5th World Congress on Industrial Process Tomography, 2007-09-032007-09-06.Full text not available from this repository.
A dynamic complex electromagnetic induction imaging technique is developed with the aid of the linear Kalman filter (LKF) for real-time reconstruction of molten metal flow. The forward problem is solved by an edge finite element method. The inverse problem is treated as a state estimation problem. The conductivity distribution is estimated with the aid of the Kalman estimator. The Kalman gain matrix is pre-computed and stored off-line to minimize the on-line computational time. Simulation and experimental tests are reported to illustrate the reconstruction performances in the sense of spatio-temporal resolution in a simplified geometry of the metal flow in continuous casting.
|Item Type:||Conference or Workshop Item (Paper)|
|Journal or Publication Title:||5th World Congress on Industrial Process Tomography|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Departments:||Faculty of Science and Technology > Engineering|
|Deposited By:||Dr Xiandong Ma|
|Deposited On:||05 Jan 2011 13:30|
|Last Modified:||19 Apr 2016 01:40|
Actions (login required)