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

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...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2004-03, Vol.40 (2), p.1112-1115
Main Authors: Nagaya, Y., Takagi, T., Uchimoto, T., Haoyu Huang
Format: Article
Language:English
Subjects:
Condensed matter: electronic structure, electrical, magnetic, and optical properties
Electrical capacitance tomography
Exact sciences and technology
Image analysis
Image processing
Image reconstruction
Magnetic properties and materials
Magnetism
Multi-stage noise shaping
Physics
Shape
Signal analysis
Signal generators
Signal processing
Testing
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Summary: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.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2004.825322