Inverse mapping of magnetic flux leakage signal for defect characterization

Estimation of shape and size of metal loss defects in ferromagnetic plates/pipes from magnetic flux leakage (MFL) signals calls for the development of an inverse mapping system, which is very often non-linear and ill-posed. Identification of such systems needs regularization and modeling in multi-resolution framework. This paper proposes a new inverse mapping approach for defect profile estimation and sizing from MFL signals, using a partially...