Generalized multifrequency fusion algorithm for defect detection in eddy current inspection data

被引:12
|
作者
Efremov, Anton [1 ]
Karpenko, Oleksii [1 ]
Udpa, Lalita [1 ]
机构
[1] Michigan State Univ, Nondestruct Evaluat Lab, E Lansing, MI USA
关键词
Eddy currents; Data fusion; Defect detection; Image processing; Steam generator; STEAM-GENERATOR TUBES; CRACKS;
D O I
10.1016/j.ndteint.2022.102654
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
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.
引用
收藏
页数:10
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