An SVM Approach to Crack Shape Reconstruction in Eddy Current Testing

2006 ◽  
Author(s):  
Andrea Bernieri
Keyword(s):  
Eddy Current ◽  
Shape Reconstruction ◽  
Eddy Current Testing ◽  
Current Testing ◽  
Crack Shape

Crack shape identification arising in eddy current testing by multi coil probes

2003 ◽  
Vol 2003.16 (0) ◽  
pp. 649-650
Author(s):  
Fumio KOJIMA ◽  
Nobuhiro KAWAI ◽  
Futoshi KOBAYASI ◽  
Akira NISHIMIZU ◽  
Masahiro KOIKE ◽  
...  
Keyword(s):  
Eddy Current ◽  
Eddy Current Testing ◽  
Shape Identification ◽  
Current Testing ◽  
Crack Shape

scholarly journals Two-level approach for solving the inverse problem of defects identification in Eddy Current Testing - type NDT

2011 ◽  
Vol 60 (4) ◽  
pp. 497-518
Author(s):  
Piotr Putek ◽  
Guillaume Crevecoeur ◽  
Marian Slodička ◽  
Konstanty Gawrylczyk ◽  
Roger van Keer ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Eddy Current ◽  
Surface Defects ◽  
Shape Reconstruction ◽  
Eddy Current Testing ◽  
Crack Identification ◽  
Direct Optimization ◽  
Current Testing ◽  
Model Misfit ◽  
Defects Identification

Two-level approach for solving the inverse problem of defects identification in Eddy Current Testing - type NDTThis work deals with the inverse problem associated to 3D crack identification inside a conductive material using eddy current measurements. In order to accelerate the time-consuming direct optimization, the reconstruction is provided by the minimization of a last-square functional of the data-model misfit using space mapping (SM) methodology. This technique enables to shift the optimization burden from a time consuming and accurate model to the less precise but faster coarse surrogate model. In this work, the finite element method (FEM) is used as a fine model while the model based on the volume integral method (VIM) serves as a coarse model. The application of the proposed method to the shape reconstruction allows to shorten the evaluation time that is required to provide the proper parameter estimation of surface defects.

Probabilistic evaluation of detection capability of eddy current testing to inspect pitting on a stainless steel clad using multiple signal features

2020 ◽  
Vol 64 (1-4) ◽  
pp. 47-55
Author(s):  
Takuma Tomizawa ◽  
Haicheng Song ◽  
Noritaka Yusa
Keyword(s):  
Stainless Steel ◽  
Eddy Current ◽  
Pressure Vessels ◽  
Eddy Current Testing ◽  
Probability Of Detection ◽  
Current Testing ◽  
Multiple Signal ◽  
Signal Features ◽  
Inner Surface ◽  
Drill Holes

This study proposes a probability of detection (POD) model to quantitatively evaluate the capability of eddy current testing to detect flaws on the inner surface of pressure vessels cladded by stainless steel and in the presence of high noise level. Welded plate samples with drill holes were prepared to simulate corrosion that typically appears on the inner surface of large-scale pressure vessels. The signals generated by the drill holes and the noise caused by the weld were examined using eddy current testing. A hit/miss-based POD model with multiple flaw parameters and multiple signal features was proposed to analyze the measured signals. It is shown that the proposed model is able to more reasonably characterize the detectability of eddy current signals compared to conventional models that consider a single signal feature.

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