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Autori: B. Cranganu-Cret u, F. I. Ha nt ila , G. Preda, Z. Chen, K. Miya
Editorial: IEEE Transaction on Magnetics, 38 No. 2, p.1073-1076, 2002.
In order to accurately compute the magnetic field variation due to changes in material properties (e.g. material aging) we propose a technique that computes directly the difference magnetic field. Nonlinear materials are analyzed by means of the polarization technique. The linear field problem is solved using a fast Green function approach. A 2D formulation is validated upon comparison with measurement data. Then it is used as fast forward solver for a neural network approach to the inverse problem of reconstructing the shape of the aged material area in a plate. Finally results of reconstruction, based on 500 cases database simulations of a yoke and plate geometry are presented pointing out good quality of the reconstruction
Cuvinte cheie: nondestructive testing, magnetic fields, nonlinear magnetics and neural networks