Metamodels as input of an optimization algorithm for solving an inverse eddy current testing problem

Abstract : A method to characterize defects by processing eddy-current testing ({ECT}) signals is presented. It works in a short time for generic defects and workpieces. To retrieve the dimensions of a defect, a metamodel-based Particle Swarm Optimization ({PSO}) is considered. Indeed, using a metamodel as an input of a stochastic method enables to significantly speed it up. The metamodel is generated using an adaptive database generation. Both tube and plate configurations, corresponding with either simulated or laboratory-controlled measured data are considered as illustration. Good accuracy and satisfactory speed of the method are exhibited, additional information besides the inversion results being provided as well, which highlights possibly indeterminate cases, making the method useful also for decision analysis.
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https://hal.archives-ouvertes.fr/hal-00617527
Contributor : Marc Lambert <>
Submitted on : Monday, August 29, 2011 - 2:26:04 PM
Last modification on : Thursday, April 5, 2018 - 12:30:04 PM

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Rémi Douvenot, Marc Lambert, Dominique Lesselier. Metamodels as input of an optimization algorithm for solving an inverse eddy current testing problem. Tomasz Chady and Stanislaw Gratkowski and Toshiyuki Takagi and Satish S. Udpa. Electromagnetic Non--Destructive Evaluation (XIV), IOS Press, pp.71--78, 2011, Studies in Applied Electromagnetics and Mechanics, ⟨10.3233/978-1-60750-750-5-71⟩. ⟨hal-00617527⟩

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