On a Bayesian inversion approach in eddy-current testing
| Autor: | Caifang Cai, Marc Lambert, Thomas Rodet, Dominique Lesselier |
|---|---|
| Přispěvatelé: | Lesselier, Dominique, Modèles Numériques - Méthodes Bayesiennes pour le diagnostic et la Probabilité de détection Assistée par la Simulation - - ByPASS2013 - ANR-13-MONU-0011 - MN - VALID, H. G. Ramos and A. L. Ribeiro, Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Laboratoire Génie électrique et électronique de Paris (GeePs), Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre National de la Recherche Scientifique (CNRS), ANR-13-MONU-0011,ByPASS,Méthodes Bayesiennes pour le diagnostic et la Probabilité de détection Assistée par la Simulation(2013), Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Sud - Paris 11 (UP11), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism
[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph] Bayesian parameter inversion Benchmarks [SPI.ELEC] Engineering Sciences [physics]/Electromagnetism [MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph] [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Non-destructive evaluation/testing Eddy current modeling Experimental data analysis [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | 21th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE 2016) 21th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE 2016), Sep 2016, Lisbonne, Portugal. Paper 21, 60-61 HAL |
| Popis: | International audience; In eddy-current nondestructive testing (EC-NdT), parameter inversion is one main challenge. Here, one attempts to depict key advances and to put those in perspective with respect to challenges ahead in the real world of EC-NdT within a Bayesian framework. This work is based on the use of the well-known CIVA platform, to compute the variations of eddy-current impedance observed above work pieces that will serve us as synthetic data in the process, and also on the use of databases, those being properly constructed from CIVA, since we are keen to use meta-models (see later) that enable us to avoid in particular being burdened by possibly very high computational costs if left to call for CIVA solvers repeatedly. Data acquired in laboratory-controlled conditions, be they benchmarks or experimental data from partners, are also exploited, that is, they serve us as inputs of parameter inversion, in order to provide further means of analysis of pros and cons of the proposed solution. The work, which will be illustrated by ample numerical simulations and thorough controlled-laboratory data exploitation shown during the expected presentation, is as indicated being led within a Bayesian framework. |
| Databáze: | OpenAIRE |
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