Dynamical electric wire tomography: a time series approach

The inverse problem of estimating gas temperature distribution based on the measurement of resistances of thin metal filaments spanned across the gas flow is discussed. The estimation is based on the fact that the resistance of the filament material is a function of the temperature. The gas temperature is modelled as a time-dependent stochastic process, and the temperature estimation is performed by using Kalman filters. The proposed method is tested both with numerically-produced synthetic data and with experimental data.