Identification of multiple cracks from eddy-current testing signals with noise sources by image processing and inverse analysis

Yoshiaki Nagaya; Toshiyuki Takagi; Tetsuya Uchimoto; Haoyu Huang

doi:10.1109/TMAG.2004.825322

Identification of multiple cracks from eddy-current testing signals with noise sources by image processing and inverse analysis

Yoshiaki Nagaya, Toshiyuki Takagi, Tetsuya Uchimoto, Haoyu Huang

Tohoku University

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

This paper proposes a novel method for identifying the number and positions of cracks and reconstructing crack shapes. It assumes that two-dimensional scanned eddy-current testing (ECT) signals obtained from a steam generator tube are a picture image, then a template matching method with the help of genetic algorithms predicts the number and positions of cracks. The present method employs the superposition of crack signals and a nonlinear scaling technique of a signal profile on the crack length that are verified by numerical simulation. The number and positions of the cracks are satisfactorily predicted. The crack-shape reconstructions from the predicted positions with the help of inverse analysis are achieved with a satisfactory degree of accuracy.

Original language	English
Pages (from-to)	1112-1115
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	40
Issue number	2 II
DOIs	https://doi.org/10.1109/TMAG.2004.825322
Publication status	Published - 2004 Mar

Keywords

Eddy-current testing
Inverse problem
Multiple cracks
Support plates
Template matching

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10.1109/TMAG.2004.825322

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title = "Identification of multiple cracks from eddy-current testing signals with noise sources by image processing and inverse analysis",

abstract = "This paper proposes a novel method for identifying the number and positions of cracks and reconstructing crack shapes. It assumes that two-dimensional scanned eddy-current testing (ECT) signals obtained from a steam generator tube are a picture image, then a template matching method with the help of genetic algorithms predicts the number and positions of cracks. The present method employs the superposition of crack signals and a nonlinear scaling technique of a signal profile on the crack length that are verified by numerical simulation. The number and positions of the cracks are satisfactorily predicted. The crack-shape reconstructions from the predicted positions with the help of inverse analysis are achieved with a satisfactory degree of accuracy.",

keywords = "Eddy-current testing, Inverse problem, Multiple cracks, Support plates, Template matching",

author = "Yoshiaki Nagaya and Toshiyuki Takagi and Tetsuya Uchimoto and Haoyu Huang",

note = "Funding Information: Manuscript received July 1, 2003. This work was supported in part by the Grant-in-Aid for Specially Promoted Research (11CE2003) by the Ministry of Education, Culture, Sports, Science and Technology. Y. Nagaya is with the Graduate School of Engineering, Tohoku University, Sendai 980-8577, Japan. T. Takagi, T. Uchimoto, and H. Huang are with the Institute of Fluid Science, Tohoku University, Sendai 980-8577, Japan (e-mail: takagi@ifs.tohoku.ac.jp). Digital Object Identifier 10.1109/TMAG.2004.825322",

year = "2004",

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doi = "10.1109/TMAG.2004.825322",

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AU - Nagaya, Yoshiaki

AU - Takagi, Toshiyuki

AU - Uchimoto, Tetsuya

AU - Huang, Haoyu

N1 - Funding Information: Manuscript received July 1, 2003. This work was supported in part by the Grant-in-Aid for Specially Promoted Research (11CE2003) by the Ministry of Education, Culture, Sports, Science and Technology. Y. Nagaya is with the Graduate School of Engineering, Tohoku University, Sendai 980-8577, Japan. T. Takagi, T. Uchimoto, and H. Huang are with the Institute of Fluid Science, Tohoku University, Sendai 980-8577, Japan (e-mail: takagi@ifs.tohoku.ac.jp). Digital Object Identifier 10.1109/TMAG.2004.825322

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N2 - This paper proposes a novel method for identifying the number and positions of cracks and reconstructing crack shapes. It assumes that two-dimensional scanned eddy-current testing (ECT) signals obtained from a steam generator tube are a picture image, then a template matching method with the help of genetic algorithms predicts the number and positions of cracks. The present method employs the superposition of crack signals and a nonlinear scaling technique of a signal profile on the crack length that are verified by numerical simulation. The number and positions of the cracks are satisfactorily predicted. The crack-shape reconstructions from the predicted positions with the help of inverse analysis are achieved with a satisfactory degree of accuracy.

AB - This paper proposes a novel method for identifying the number and positions of cracks and reconstructing crack shapes. It assumes that two-dimensional scanned eddy-current testing (ECT) signals obtained from a steam generator tube are a picture image, then a template matching method with the help of genetic algorithms predicts the number and positions of cracks. The present method employs the superposition of crack signals and a nonlinear scaling technique of a signal profile on the crack length that are verified by numerical simulation. The number and positions of the cracks are satisfactorily predicted. The crack-shape reconstructions from the predicted positions with the help of inverse analysis are achieved with a satisfactory degree of accuracy.

KW - Eddy-current testing

KW - Inverse problem

KW - Multiple cracks

KW - Support plates

KW - Template matching

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JO - IEEE Transactions on Magnetics

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Identification of multiple cracks from eddy-current testing signals with noise sources by image processing and inverse analysis

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Keywords

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