Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements

This paper proposes a fast and effective method for reconstructing arbitrary defect profiles in steel plates from magnetic flux leakage (MFL) measurements widely used in nondestructive testing (NDT) of oil storage tanks and pipelines. The inverse reconstruction problem is formulated based on a nonli...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on magnetics 2013-01, Vol.49 (1), p.506-516
Main Authors: Priewald, Robin H., Magele, Christian, Ledger, Paul D., Pearson, Neil R., Mason, John S. D.
Format: Article
Language:English
Subjects:
Applied sciences
Arbitrary defect reconstruction
Computational modeling
Corrosion
Corrosion environments
Cross-disciplinary physics: materials science
rheology
Exact sciences and technology
finite element method (FEM)
Finite element methods
Geometry
inverse problem
Jacobian matrices
magnetic flux leakage (MFL)
Materials science
Metals. Metallurgy
non destructive testing (NDT)
Optimization
Other topics in materials science
Physics
Steel
steel corrosion sizing
Vectors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a fast and effective method for reconstructing arbitrary defect profiles in steel plates from magnetic flux leakage (MFL) measurements widely used in nondestructive testing (NDT) of oil storage tanks and pipelines. The inverse reconstruction problem is formulated based on a nonlinear forward model using the finite element method (FEM) and is implemented in 2-D. A Gauss-Newton optimization is applied to reconstruct the defect geometry, using efficiently calculated Jacobian information directly derived from the FEM system matrix.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2012.2208119