An Experimental Evaluation of State Estimation with Fluid Dynamical Models in Process Tomography

Aku Seppänen1, Lasse Heikkinen1, Tuomo Savolainen1, Erkki Somersalo2, and Jari P Kaipio1

1Department of Applied Physics, University of Kuopio, P.O.Box 1627, FIN-70211 Kuopio, Finland,

Aku.Seppanen@uku.fi

2Institute of Mathematics, Helsinki University of Technology, P.O.Box 1100 FIN-02015 TKK, Finland, esomersa@dopey.hut.fi

ABSTRACT

In this paper we perform an experimental evaluation of state estimation approach in process tomography. In particular, we concentrate on the case where a system with rapidly moving fluid is imaged with Electrical Impedance Tomography (EIT). We show experimental results which confirm that non-stationary estimation with proper fluid dynamical models works well even in cases where stationary estimates are completely useless.

Keywords Process Tomography, Electrical Impedance Tomography (EIT), State Estimation