Abstract
A new algorithm for the identification of the permanent magnetization of ferromagnetic sheets is proposed. From magnetic measurements close to the ferromagnetic material, the magnetization distribution is reconstructed. The forward problem involves an integral formulation based on the interpolation of the flux density in the sheet, leading to a linear matrix system linking the magnetization to the measurements. The inverse problem is solved with a balanced singular value decomposition in order to stabilize the solution. The effectiveness of the method is demonstrated using both a numerical test case and an experimental validation.
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