Adaptive inversion database for electromagnetic nondestructive evaluation

Pávó, József; Gyimóthy, Szabolcs

doi:10.1016/j.ndteint.2006.10.011

Cited by 19 publications

(14 citation statements)

References 14 publications

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“…Sándor BILICZ 1,2 , Marc LAMBERT 1 , Emmanuel VAZQUEZ 3 and Szabolcs GYIMÓTHY 2 1 Département de Recherche en Électromagnétisme, Laboratoire des Signaux et Systèmes UMR8506 (CNRS-SUPELEC-Univ Paris-Sud), Gif-sur-Yvette, France 2 Budapest University of Technology and Economics, Hungary 3 École Supérieure d'Électricité (SUPELEC), Gif-sur-Yvette, France…”

Section: Combination Of Maximin and Kriging Prediction Methods For Edunclassified

Combination of Maximin and Kriging Prediction Methods for Eddy-Current Testing Database Generation

Bilicz

Lambert

Vázquez

et al. 2010

J. Phys.: Conf. Ser.

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Combination Of Maximin and Kriging Prediction Methods For Edunclassified

Combination of Maximin and Kriging Prediction Methods for Eddy-Current Testing Database Generation

Bilicz

Lambert

Vázquez

et al. 2010

J. Phys.: Conf. Ser.

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“…The third problem is the complexity of any in-situ measurements, involving uncertainties higher than those associated with laboratory setting. These issues are discussed by [118], in the context of eddy current defectoscopy, and by Karhun et al [110], who applied ERT to detection of internal defects in concrete structures. The numerical solution of the inverse problem is usually not unique, and it is sensitive to modelling errors and a measurement noise.…”

Section: Solutions Of Inverse Problemsmentioning

confidence: 99%

“…In order to minimise the computation cost without compromising the accuracy, some authors propose a refinement of algorithms of problem inversion with design-of-experiment sampling, response-surface fitting [118], and neuron networks [122], The possible presence of several local extrema of the response function requires global optimization procedures, like genetic algorithms or artificial neural networks. The networks are first 'trained' using signals from a wide and possibly exhaustive range of defect shapes.…”

Section: Solutions Of Inverse Problemsmentioning

confidence: 99%

Finite Element Method Applied in Electromagnetic NDTE: A Review

Augustyniak

Usarek

2016

J Nondestruct Eval

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The paper contains an original comprehensive review of finite element analysis (FEA) applied by researchers to calibrate and improve existing and developing electromagnetic non-destructive testing and evaluation techniques, including but not limited to magnetic flux leakage (MFL), eddy current testing, electromagnetic-acoustic transducers (EMATs). Premium is put on the detection and modelling of magnetic field, as the vast majority of ENDT involves magnetic induction, either as a primary variable MFL or a complementary phenomenon (EC, EMATs). FEA is shown as a fit-for-purpose tool to design, understand and optimise ENDT systems, or a Reference for other modelling algorithms. The review intentionally omits the fundamentals of FEA and detailed principles of NDT. Strain-stress FEA applications in NDT, especially in ultrasonography and hole-drilling methodology, deserve as well a separate study.

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“…Optimal NDT databases equipped with piecewise constant (PC) interpolation over simplex elements were introduced by the author (as contributor) in [11], where an incremental sampling method based on adaptive mesh generation was proposed. The database supported by a simplex-mesh we call a 'mesh-database'.…”

Section: Preliminaries and Related Workmentioning

confidence: 99%

“…Z(l, d ) = [Z i (l, d )] represents the impedance signal of the crack and Z(l, d) its PC or PL interpolate. The threshold δ is practically identified with the resolution of the real measurement [11].…”

Section: Optimal Mesh-databasesmentioning

confidence: 99%

Optimal sampling for fast eddy current testing inversion by utilising sensitivity data

Gyimóthy

2015

IET Science, Measurement & Technology

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An adaptive sampling method based on simplex-mesh refinement is proposed for creating a forward database that can facilitate the inverse problem solution in non-destructive testing. The resulting mesh-database is used as a generic interpolator of the forward problem. The available sensitivity data are utilised for obtaining an optimal sampling with respect to the piecewise linear interpolation applied for data retrieval. The resulting database provides guaranteed quality of approximation using a relatively few number of samples. The method is illustrated by a crack reconstruction problem of eddy current testing.

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Adaptive inversion database for electromagnetic nondestructive evaluation

Cited by 19 publications

References 14 publications

Combination of Maximin and Kriging Prediction Methods for Eddy-Current Testing Database Generation

Combination of Maximin and Kriging Prediction Methods for Eddy-Current Testing Database Generation

Finite Element Method Applied in Electromagnetic NDTE: A Review

Optimal sampling for fast eddy current testing inversion by utilising sensitivity data

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