Validation of a Self-developed Algorithm for Solving Inverse Problems on Resistance Networks

Due to its non-destructive nature research of Electrical Impedance Tomography (EIT) is still receiving a great deal of attention in many areas of application. The advantage of the method over density-based methods (e. g. acoustic, optical measurements, etc.) is that it also allows to deduce the chemical properties of the examined material. In this article, our research group examines a new approach on the implementation of the method. Consequently, by modeling the studied material, which can be considered as a continuum, as a linear network with concentrated parameters, we would like to determine the weights on the branches of the graph, i.e. the resistances in our article. After defining the mathematical model, we created a physical model in order to validate the self-developed algorithm. We used a precision measurement procedure to calculate the resistance values placed on the branches of the graph.