Open AccessOptimal sampling for fast eddy current testing inversion by utilising sensitivity data
Author(s) -
Gyimóthy Szabolcs
Publication year - 2015
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2013.0166
Subject(s) - computer science , interpolation (computer graphics) , sensitivity (control systems) , adaptive sampling , sampling (signal processing) , eddy current testing , algorithm , piecewise , inverse problem , mathematical optimization , data mining , inversion (geology) , piecewise linear function , eddy current , mathematics , artificial intelligence , statistics , geology , electronic engineering , engineering , electrical engineering , motion (physics) , mathematical analysis , paleontology , geometry , filter (signal processing) , structural basin , monte carlo method , computer vision
An adaptive sampling method based on simplex‐mesh refinement is proposed for creating a forward database that can facilitate the inverse problem solution in non‐destructive testing. The resulting mesh‐database is used as a generic interpolator of the forward problem. The available sensitivity data are utilised for obtaining an optimal sampling with respect to the piecewise linear interpolation applied for data retrieval. The resulting database provides guaranteed quality of approximation using a relatively few number of samples. The method is illustrated by a crack reconstruction problem of eddy current testing.