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

被引：80
|
作者：
Li, Y [1 ]
Udpa, L [1 ]
Udpa, SS [1 ]
机构：
[1] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2004年 / 40卷 / 02期
关键词：
eddy-current testing; finite-element methods; genetic algorithms; inverse problems;
D O I：
10.1109/TMAG.2004.824116
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：410 / 417
页数：8
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