Experimental evaluation of some current injection-voltage reading patterns in electrical impedance tomography (EIT) and comparison to simulation results - Case study: Large scales

Abstract

Each electrical impedance tomography system to be prosper, usually would had its own current injection and voltage reading patterns within domains under test. So in different domains, each of sensing patterns have different performances. In industrial application for conductive carrier-phases and in large domains, impedance imaging of real phantoms would be advisable candidate for better performance. Therefore in this study, performance of five sensing patterns in a large scale (outer diameter of 700 mm) were evaluated. Based on the sensing patterns, parameters such as; applicability in the domain and online mode, voltage signal-to-noise ratio (SNR), boundary voltage changes (BVC), sensitivity distributions, size error (SE) and ringing, in different object locations were studied by simulation and experimentally. The results illustrated that there is a significant difference between the reconstruction images of simulation and experimental data in the patterns with low SNR. Also, in a pattern with high SNR, due to the low BVC, the desired performance was not achieved. The highest correlation in the image reconstruction of the simulation and experimental data was obtained in the Opposite-Adjacent pattern with high SNR and BVC. The results show that the selection of this sensing pattern can improve the object's SE up to 0.68%.