Three-dimensional defect reconstruction from eddy-current NDE signals using a genetic local search algorithm

This paper introduces a model-based approach to reconstruct three-dimensional defect profiles from eddy-current nondestructive evaluation signals. The method casts the defect characterization problem as an exercise in maximization of an appropriate cost function. The method uses an edge-based finite...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on magnetics 2004-03, Vol.40 (2), p.410-417
Main Authors: Yue Li, Udpa, L., Udpa, S.S.
Format: Article
Language:English
Subjects:
Chemical industry
Coils
Condensed matter: electronic structure, electrical, magnetic, and optical properties
Cost function
Defense industry
Exact sciences and technology
Genetics
Geometry
Magnetic properties and materials
Magnetism
Physics
Predictive models
Signal processing
Spatial databases
Testing
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 introduces a model-based approach to reconstruct three-dimensional defect profiles from eddy-current nondestructive evaluation signals. The method casts the defect characterization problem as an exercise in maximization of an appropriate cost function. The method uses an edge-based finite-element forward model to simulate the underlying physical process and a genetic search algorithm to solve the optimization (maximization) problem. The paper presents techniques to reduce the computation cost for evaluating the cost function as well as local search methods to speed the genetic search process. Test results confirm the validity of the approach.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2004.824116