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Generalized multifrequency fusion algorithm for defect detection in eddy current inspection data
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AI
DOI：10.1016/j.ndteint.2022.102654.png)
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Abstract
En 中文
This paper introduces a novel generalized multifrequency fusion method for defect detection in Eddy Current NDE. The proposed technique provides an ability to highlight small defect signals in presence of noise or larger signals from structural irregularities. This paper contains a complete mathematical formulation of the method and its applications to simulated and experimental data arising from two typical ECT problems: detection of the small cracks in the tube wall near tube support region of steam generator tubes, and detection of small cracks in the bottom layer of two-layer aluminum panels riveted with steel fasteners.
Keywords:
Eddy currents
Data fusion
Defect detection
Image processing
Steam generator
Journal
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IF:
4.5
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3.1K
Citations:
9.0K