Unsupervised autoencoders with features in the electromechanical impedance domain for early damage assessment in FRP-strengthened concrete elements: Fid-Bau Portal

Unsupervised autoencoders with features in the electromechanical impedance domain for early damage assessment in FRP-strengthened concrete elements

Perera, Ricardo / Montes, Javier / Gómez, Alejandra / Barris, Cristina / Baena, Marta

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Unsupervised autoencoders with features in the electromechanical impedance domain for early damage assessment in FRP-strengthened concrete elements

Perera, Ricardo / Montes, Javier / Gómez, Alejandra / Barris, Cristina / Baena, Marta

Unsupervised autoencoders with features in the electromechanical impedance domain for early damage assessment in FRP-strengthened concrete elements

Perera, Ricardo / Montes, Javier / Gómez, Alejandra / Barris, Cristina / Baena, Marta

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Titel:

Unsupervised autoencoders with features in the electromechanical impedance domain for early damage assessment in FRP-strengthened concrete elements

Weitere Titelangaben:

Engineering Structures

Beteiligte:

Perera, Ricardo (Autor:in) / Montes, Javier (Autor:in) / Gómez, Alejandra (Autor:in) / Barris, Cristina (Autor:in) / Baena, Marta (Autor:in)

Erschienen in:

Engineering Structures ; 315 ; 118458

Erscheinungsdatum:

01.09.2024

ISSN:

0141-0296

DOI:

https://doi.org/10.1016/j.engstruct.2024.118458

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

http://creativecommons.org/licenses/by-nc-nd/4.0/

Perera Velamazán, Ricardo / Montes Sánchez, Jesús / Gomez Alonso, Ana Maria et al. | BASE | 2024

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Concrete damage diagnosis using electromechanical impedance technique

Liu, Peng / Wang, Weilun / Chen, Ying et al. | Elsevier | 2016

Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection

Silva, Moisés Felipe / Santos, Adam / Santos, Reginaldo et al. | Wiley | 2021

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