A crack identification microwave procedure based on a genetic algorithm for nondestructive testing

被引:51
作者
Caorsi, S [1 ]
Massa, A
Pastorino, M
机构
[1] Univ Pavia, Dept Elect, I-27100 Pavia, Italy
[2] Univ Genoa, Dept Biophys & Elect Engn, I-16145 Genoa, Italy
关键词
genetic algorithms; microwave imaging; nondestructive testing;
D O I
10.1109/8.982464
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 is aimed at exploring the possibility of using a microwave approach based on a genetic algorithm to detect a defect inside a known host object. Starting from the knowledge of the scattered field, the problem solution is recast as a two-step procedure. After defining a cost function depending on the geometric parameters of the crack, a minimization procedure based on a hybrid-coded genetic algorithm is applied. The influence of the noise as well as of the geometry of the defect on the crack detection and reconstruction is investigated. Moreover, the numerical effectiveness of the iterative approach is examined.
引用
收藏
页码:1812 / 1820
页数:9
相关论文
共 20 条
[1]  
BELKEBIR K, 1994, P 24 EUR C, V2, P1209
[2]  
BRAMANTI M, 1992, J MICROWAVE POWER, V27
[3]   Genetic algorithms as applied to the numerical computation of electromagnetic scattering by weakly nonlinear dielectric cylinders [J].
Caorsi, S ;
Massa, A ;
Pastorino, M .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1999, 47 (09) :1421-1428
[4]  
CAORSI S, 1996, IEEE T MICROWAVE THE, V40, P400
[5]  
ESHELMAN LJ, 1993, FOUNDATIONS OF GENETIC ALGORITHMS 2, P187
[6]   AN INTRODUCTION TO SIMULATED EVOLUTIONARY OPTIMIZATION [J].
FOGEL, DB .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (01) :3-14
[7]  
Goldberg D. E., 1989, GENETIC ALGORITHMS S
[8]  
Goldberg DE, 1991, FDN GENETIC ALGORITH, P69, DOI DOI 10.1016/B978-0-08-050684-5.50008-2
[9]   AN INTRODUCTION TO GENETIC ALGORITHMS FOR ELECTROMAGNETICS [J].
HAUPT, RL .
IEEE ANTENNAS AND PROPAGATION MAGAZINE, 1995, 37 (02) :7-15
[10]  
Holland J., 1992, ADAPTATION NATURAL A