Reconstruction of non-vanished conductivity crack from ECT signals based on shifting aperture method

N. Yusa; K. Miya

doi:10.1109/IECON.2000.973232

Reconstruction of non-vanished conductivity crack from ECT signals based on shifting aperture method

N. Yusa, K. Miya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The numerical schemes based on neural networks with a shifting aperture method to reconstruct a crack shape from eddy current test (ECT) signals are presented. Aiming at the final goal of ECT study and the reconstruction of the cracks that occur in the actual steam generator tubes of pressurized water reactor power plants, the cracks considered are not electrodischarge machined notches but the natural ones with distributed conductivity. The data are obtained from numerical simulations using an FEM-BEM coupling method based on the A-φ formulation. A database approach, a kind of fast forward solver, is also applied to save computational resources. The results obtained show that the inverse scheme proposed in this paper can give quite an accurate reconstruction and is robust against noises.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	IEEE Computer Society
Pages	690-694
Number of pages	5
DOIs	https://doi.org/10.1109/IECON.2000.973232
Publication status	Published - 2000 Jan 1
Externally published	Yes

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	1

Keywords

Eddy current testing
crack reconstruction
neural network
shifting aperture method

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2000.973232

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Reconstruction of non-vanished conductivity crack from ECT signals based on shifting aperture method. / Yusa, N.; Miya, K.

IECON Proceedings (Industrial Electronics Conference). IEEE Computer Society, 2000. p. 690-694 973232 (IECON Proceedings (Industrial Electronics Conference); Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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abstract = "The numerical schemes based on neural networks with a shifting aperture method to reconstruct a crack shape from eddy current test (ECT) signals are presented. Aiming at the final goal of ECT study and the reconstruction of the cracks that occur in the actual steam generator tubes of pressurized water reactor power plants, the cracks considered are not electrodischarge machined notches but the natural ones with distributed conductivity. The data are obtained from numerical simulations using an FEM-BEM coupling method based on the A-φ formulation. A database approach, a kind of fast forward solver, is also applied to save computational resources. The results obtained show that the inverse scheme proposed in this paper can give quite an accurate reconstruction and is robust against noises.",

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