A priori Bayesian Information for Inverse Resolution of Integral Formulation applied to Thin Regions Magnetization Identification

An algorithm for the reconstruction of the magnetization inside an iron sheet is proposed. The magnetization distribution is reconstructed from magnetic measurements made on sensors placed in the surrounding air region. The problem consists in identifying magnetic charges thanks to Bayesian a priori information. The charges derive from the divergence of the flux density through element facets. The efficiency of the method is demonstrated with a numerical application.