Damage detection through nonparametric models using Kautz filters-Reference-Cited by-同舟云学术

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Damage detection through nonparametric models using Kautz filters

Published:2021-02-17 Issue: Volume: Page:
ISSN:0025-6455
Container-title:Meccanica
language:en
Short-container-title:Meccanica

Author:

da Silva Samuel^ORCID,Hansen Cristian

Funder

Fundação de Amparo á Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Link

http://link.springer.com/content/pdf/10.1007/s11012-021-01319-1.pdf

Reference24 articles.

1. Alves V, Cury A, Roitman N, Magluta C, Cremona C (2015) Novelty detection for SHM using raw acceleration measurements. Struct Control Health Monit 22(9):1193–1207. https://doi.org/10.1002/stc.1741

2. Avci O, Abdeljaber O, Kiranyaz S, Hussein M, Gabbouj M, Inman DJ (2021) A review of vibration-based damage detection in civil structures: from traditional methods to machine learning and deep learning applications. Mech Syst Signal Process 147:107077. https://doi.org/10.1016/j.ymssp.2020.107077

3. Baldelli DH, Mazzaro DH, Peña RSS (2001) Robust identification of lightly damped flexible structures by means of orthonormal bases. IEEE Trans Control Syst Technol 9(5):696–707

4. da Silva S, Paixão J, Rébillat M, Mechbal N (2020) Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures. J Intell Mater Syst Struct. https://doi.org/10.1177/1045389X20963171

5. De Oliveira MA, Monteiro AV, Vieira Filho J (2018) A new structural health monitoring strategy based on PZT sensors and convolutional neural network. Sensors. https://doi.org/10.3390/s18092955

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1. Robust multimodel control for uncertain nonlinear MIMO systems based on ARX-Laguerre multimodel and LSDP approach;International Journal of Control;2022-09-21

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