Seismic emissions from a passing train: turning ambient noise into a controlled source

Autor: Théo Rebert, Thibaut Allemand, Thomas Bardainne, Caifang Cai, Hervé Chauris

Train traffic is a powerful source of seismic vibrations. Recent studies have shown that trains illuminate geological structures both at the crustal and the geotechnical scale. Existing works have been able to reconstruct approximately the spectral c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d578f04abfd91ebbaf8a4f36cb239d4a
https://doi.org/10.5194/egusphere-egu23-7289

Metamodel-based Markov-Chain-Monte-Carlo parameter inversion applied in eddy current flaw characterization

Autor: Dominique Lesselier, Marc Lambert, Caifang Cai, Pierre-Emile Lhuillier, Thomas Rodet, Roberto Miorelli

Publikováno v: NDT & E International
NDT & E International, Elsevier, 2018, 99, pp.13-22. ⟨10.1016/j.ndteint.2018.02.004⟩
NDT& E International
NDT& E International, 2018, 99, pp.13-22. 〈10.1016/j.ndteint.2018.02.004〉
NDT & E International, 2018, 99, pp.13-22. ⟨10.1016/j.ndteint.2018.02.004⟩

International audience; Flaw characterization in eddy current testing usually requires to solve a nonlinear inverse problem. Due to high computational cost, Markov Chain Monte Carlo (MCMC) methods are hardly employed since often needing many forward

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07189de328bd5cc158a6a05dda157802
https://hal-centralesupelec.archives-ouvertes.fr/hal-01634071

Metamodel-based nested sampling for model selection in eddy-current testing

Autor: Sandor Bilicz, Dominique Lesselier, Marc Lambert, Caifang Cai, Thomas Rodet

Publikováno v: IEEE Transactions on Magnetics
IEEE Transactions on Magnetics, Institute of Electrical and Electronics Engineers, 2017, 53 (4), pp.6200912. ⟨10.1109/TMAG.2016.2635626⟩
IEEE Transactions on Magnetics, 2017, 53 (4), pp.6200912. ⟨10.1109/TMAG.2016.2635626⟩

In non-destructive testing, model selection is a common problem, e.g., to determine the number of defects present in the inspected workpiece. Statistical model selection requires to approximate the marginal likelihood also called model evidence. Its

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb6c2508c80010459c6b11c18eb1d8f
https://hal-centralesupelec.archives-ouvertes.fr/hal-01397025

On a Bayesian inversion approach in eddy-current testing

Autor: Caifang Cai, Marc Lambert, Thomas Rodet, Dominique Lesselier

Publikováno v: 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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::01f673782e3531a6fb4c124abb3e8db1
https://centralesupelec.hal.science/hal-01376774

Efficient model choice and parameter estimation by using Nested Sampling applied in Eddy-Current Testing

Autor: Marc Lambert, Caifang Cai, Thomas Rodet

Publikováno v: 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)
40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp.4165-4169, ⟨10.1109/ICASSP.2015.7178755⟩
ICASSP

International audience; In many applications, such as Eddy-Current Testing (ECT), we are often interested in the joint model choice and parameter estimation. Nested Sampling (NS) is one of the possible methods. The key step that reflects the efficien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d029de7dc058c5b6de97810252ab48f
https://hal-centralesupelec.archives-ouvertes.fr/hal-01207386/document