| Popis: |
The goal of this paper is to localize and reconstruct the shape of 3D flaws in conductive materials using a particular eddy current setup. To solve the non linear and ill‐posed inverse problem, a bayesian estimation framework has been considered. In order to compensate the lack of information due to the band‐pass behavior of the forward operator, a priori knowledge is introduced by using the beta prior law and the weak membrane model. To show the capabilities of the proposed approach, some 3D reconstructions from simulated data are presented. |
