A Non-linear Model of Sensitivity Matrix for Electrical Capacitance Tomography

Abstract : The estimation of the permittivity distribution within a given volume by Electrical Capacitive Tomography relies on a relationship between the measured signal and the permittivity distribution, known as the sensitivity matrix. We show that relative permittivity variations must be lower than 25% to obtain errors smaller than 10% with the model whereas the permittivity can be scaled by up to 3.6 for the same error range with the proposed non- model. The errors remain below 15% over the whole range of permittivity.
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Communication dans un congrès
2012 Annual Meeting of the Electrostatics Society of America, Jun 2012, Canada. pp.00 - 00, 2012
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Gustavo Villares, Laura Begon-Lours, Cédric Margo, Yacine Oussar, Jérôme Lucas, et al.. A Non-linear Model of Sensitivity Matrix for Electrical Capacitance Tomography. 2012 Annual Meeting of the Electrostatics Society of America, Jun 2012, Canada. pp.00 - 00, 2012. 〈hal-00927194〉

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