Dynamic Electromagnetic Induction Imaging of Molten Metal Flow using the Kalman Filter
Soleimani, M., Peyton, A. and Ma, X., 2007. Dynamic Electromagnetic Induction Imaging of Molten Metal Flow using the Kalman Filter. In: 5th World Congress in Process Tomography 2007, 2007-09-03 - 2007-09-06, Bergen.
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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 Items (Paper)|
|Creators||Soleimani, M., Peyton, A. and Ma, X.|
|Departments||Faculty of Engineering & Design > Electronic & Electrical Engineering|
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