Abstract
EC-GMR measurements have been applied for detection of sub-surface corrosion and cracks under fastener (CUF) head. Generally, fastener signal amplitude is larger than the amplitude of the crack signal indication, rendering crack detection a challenging task. Also, another challenge in the analysis of field signals is the stitching problem, commonly present in a raster scan of a row of fasteners. We propose a method based on robust sparse coding (RSC) representation to alleviate the stitching problem and enhance defect detection capability. For the dictionary, we simulate multi-layer geometries using finite element (FE) modeling. Results on simulated and field data demonstrate the feasibility and robustness of the proposed algorithm.
Get full access to this article
View all access options for this article.