Exploiting sparseness in damage characterization: A close look at the regularization techniques

Autor: Memarzadeh, Esmaeil, Bernal, Dionisio, Ulriksen, Martin D.

The idea of exploiting sparseness in under-determined damage characterization problems is not new, and regularizations techniques that tend to promote sparseness, such as L1-norm minimization, have been investigated in the last ten years or so. Altho

Externí odkaz: http://arxiv.org/abs/2204.08588

Exploiting Sparseness in Damage Characterization: A Close Look at the Regularization Techniques

Autor: Memarzadeh, Esmaeil, Bernal, Dionisio, Ulriksen, Martin Dalgaard

Publikováno v: Memarzadeh, E, Bernal, D & Ulriksen, M D 2023, Exploiting Sparseness in Damage Characterization: A Close Look at the Regularization Techniques . in P Rizzo & A Milazzo (eds), European Workshop on Structural Health Monitoring-EWSHM 2022-Volume 2 . vol. 2, Lecture Notes in Civil Engineering, vol. 254, pp. 1058–1065 . https://doi.org/10.1007/978-3-031-07258-1_106

The idea of exploiting sparseness in under-determined damage characterization problems is not new, and regularizations techniques that tend to promote sparseness, such as L1-norm minimization, have been investigated in the last ten years or so. Altho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28c148b4a0ae3d9bcdb155f98cdb6dfc
https://vbn.aau.dk/da/publications/e005fa08-ee12-4132-b23d-63602839b66e

European Workshop on Structural Health Monitoring : EWSHM 2022 - Volume 2

Autor: Piervincenzo Rizzo, Alberto Milazzo

This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers an