| DOI | Trouver le DOI : https://doi.org/10.1109/TII.2018.2832244 |
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| Auteur | Rechercher : Zhang, Hai; Rechercher : Sfarra, Stefano; Rechercher : Osman, Ahmad; Rechercher : Szielasko, Klaus; Rechercher : Stumm, Christopher; Rechercher : Genest, Marc1; Rechercher : Maldague, Xavier |
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| Affiliation | - Conseil national de recherches du Canada. Aérospatiale
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| Format | Texte, Article |
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| Sujet | terahertz; polynomial fitting; fourier transform; empirical orthogonal function; lightweight honeycomb |
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| Résumé | In this paper, terahertz time-domain spectroscopy (THz-TDS) is used for the first time to detect fabricated defects in a glass fiber-skinned lightweight honeycomb composite panel. A novel amplitude polynomial regression (APR) algorithm is proposed as a pre-processing method. This method segments the amplitude-frequency curves to simulate the heating and the cooling monotonic behavior as in infrared thermography. Then, the method of empirical orthogonal function (EOF) imaging is applied on the APR pre-processed data as a post-processing algorithm. Signal-to-noise ratio analysis is performed to verify the image improvement of the proposed APR-EOF modality from a quantitative point of view. Finally, the experimental results and the physical analysis show that THz is more suitable with respect to the detection of defects in glass fiber lightweight honeycomb composites. |
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| Date de publication | 2018-05-02 |
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| Maison d’édition | IEEE |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 23003536 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 72bbc758-a11b-40e7-80c2-aa747cf47684 |
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| Enregistrement créé | 2018-07-17 |
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| Enregistrement modifié | 2020-03-16 |
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