TY - JOUR A1 - Reimund, Verena A1 - Blome, Mark A1 - Pelkner, Matthias A1 - Kreutzbruck, Marc T1 - Fast defect parameter estimation based on magnetic flux leakage measurements with GMR sensors JF - International journal of applied electromagnetics and mechanics N2 - We present a fast inverse scheme that is capable of simultaneously estimating the parameters depth, opening and length for rectangular 3D geometries of surface-breaking defects. The parameter estimation is realized by an iterative least-squares minimization using the trust-region reflective algorithm. A semi-analytic magnetic dipole model that allows the sensor characteristics to be incorporated is used for predicting the stray magnetic fields. Giant magneto-resistance (GMR) measurements were carried out on a test specimen that includes a series of artificial defects. For the estimation of the defect depths relative errors between 0.6% and 15.9% have been obtained. Due to its very low computational costs, the inverse scheme can suitably be employed in automated production environments. KW - Magnetic flux leakage KW - GMR sensor KW - Nonlinear least-squares optimization PY - 2011 DO - https://doi.org/10.3233/JAE-2011-1391 SN - 1383-5416 SN - 0925-2096 VL - 37 IS - 2-3 SP - 199 EP - 205 PB - IOS Press CY - Amsterdam, The Netherlands AN - OPUS4-24637 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -