Multi-Modal Source Separation for Electrical Impedance Tomography

Abstract Electrical impedance tomography (EIT) is a nondestructive evaluation method that spatially maps the conductivity distribution within a given domain based on voltage measurements taken on the boundary. It has shown promise as a potential tool for in-situ monitoring of composite aerospace components. However, the current formulation of EIT is unable to distinguish between damage, strain, and environmental effects such as temperature and humidity changes. To address this problem, we propose a source separation algorithm that treats the unknown conductivity distribution as the sum of two sources with different spatial statistics. We demonstrate the method on simulated EIT data of an open-hole specimen loaded in tension with damage.