Three-dimensional inversion of volumetric defects profiles from electromagnetic nondestructive testing signals by means of stochastic methods with the aid of parallel computation

Inverse Problems in Science and Engineering

Volumn 13, Issue 1, 2005, Pages 47-63

  Yusa, Noritaka ^a,b   Rebican, Mihai ^a,b   Chen, Zhenmao ^a,b   Miya, Kenzo ^a,b   Uchimoto, Tetsuya ^a,b   Takagi, Toshiyuki ^a,b  

^a International Institute of Universality   (Japan)

^b TOHOKU UNIVERSITY   (Japan)

Author keywords

Eddy current testing; Inversion; Non destructive testing; Parallel computing; Volumetric defects

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; EDDY CURRENT TESTING; RANDOM PROCESSES; SIMULATED ANNEALING; THREE DIMENSIONAL; VOLUMETRIC ANALYSIS;

COMPUTATIONAL TIMES; INVERSION; LOCAL SEARCH; VOLUMETRIC DEFECTS;

PARALLEL PROCESSING SYSTEMS;

EID: 12344283232     PISSN: 17415977     EISSN: None     Source Type: Journal    
DOI: 10.1080/10682760410001710150     Document Type: Article

References (17)

1. Yusa, N., Chen, Z. and Miya, K., 2000, Quantitative profile evaluation of natural stress corrosion cracks in a steam generator tube from eddy current signals. International Journal of Applied Electromagnetics and Mechanics, 12, 139-150.
2. Yusa, N., Cheng, W., Chen, Z. and Miya, K., 2002, Generalized neural network approach to eddy current inversion for real cracks. NDT&E International, 35, 609-614.
3. Cheng, W., Miya, K. and Chen, Z., 1999, Reconstruction of cracks with multiple eddy current coils using a database approach. Journal of Nondestructive Evaluation, 18, 149-160.
4. Rao, B.P.C., Babu Rao, C., Jayakumar, T. and Raj, B., 1996, Simulation of eddy current signals from multiple defects. NDT&E International, 29, 269-273.
5. Huang, H. and Takagi, T., 2001, Progress of computers and its effects to simulation of eddy current testing. Journal of the Japan Society of Applied Electromagnetics and Mechanics, 9(3), 322-329.
6. Chen, Z. and Miya, K., 1998, ECT inversion using a knowledge-based forward solver. Journal of Nondestructive Evaluation, 17(3), 167-175.
7. Chen, Z., Miya, K. and Kurokawa, M., 1999, Rapid prediction of eddy current testing signals using A-φ method and database. NDT&E International, 32, 29-36.
8. Rasheed, K. and Davison, B.D., 1999, Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization. Proceedings of the Congress on Evolutionary Computation. 534-541. Washington, July 6-9.
9. Norton, S.J. and Bowler, J.R., 1993, Theory of eddy current inversion. Journal of Applied Physics, 73(2), 501-512.
10. Badics, Z., Pavo, J., Matsumoto, Y. and Komatsu, H., 2000, Forward solution speed-up for 3D eddy current inversion. IEEE transactions on Magnetics, 36(4), 1124-1127.
11. Glover, F. and Laguna, M., 1997, Tabu Search (New York: Kluwer Academic Publishers).
12. Sawai, H., Kizu, S. and Endo, T., 1998, Parameter-free Genetic Algorithm (PfGA). IEICE Transactions D-II, J-81-D-II(2), 450-452.
13. Michalewicz, Z. and Fogel, D.B., 2000, How to Solve It: Modern Heuristics (Berlin: Springer-Verlag).
14. Michalewicz, Z., 1996. Genetic Algorithms + Data Structures = Evolutionary Programs (Berlin: Springer-Verlag).
15. Kizu, S., Sawai, H. and Adachi, S., 1999, Parameter-free genetic algorithm (PfGA) using adaptive search with variable-size local population and its extension to parallel distributed processing. IEICE Transactions D-II, J-82-D-II(3), 512-521.
16. Kirkpatrick, S., Gelatt Jr, C.D. and Vecchi, M.P., 1983, Optimization by simulated annealing. Science, 220, 671-680.
17. http://www.ifs.tohoku.ac.jp/~ifs-scc/wwwscc/jpn/scchome.html