A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections

Author:

de Castro Bruno Albuquerque,Baptista Fabricio Guimarães,Ciampa FrancescoORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

General Medicine

Reference22 articles.

1. Computational model for supporting SHM systems design: damage identification via numerical analyses;Sartorato;Mech. Syst. Sig. Process.,2017

2. Structural Health Monitoring: A Machine Learning Perspective;Farrar,2013

3. B.A. Castro, F.G. Baptista, J.A.C. Ulson, et al., 2018. Structural Damage Location by Low-Cost Piezoelectric Transducer and Advanced Signal Processing Techniques, in: Proceedings of the 5th International Electronic Conference on Sensors and Applications, 4(1), pp. 1–6. https://dx.doi.org/10.3390/ecsa-5-057252.

4. Monitoring early hydration of reinforced concrete structures using structural parameters identified by piezo sensors via electromechanical impedance technique;Visalakshi;Mech. Syst. Sig. Process.,2018

5. Impedance-based structural health monitoring under low signal-to-noise ratio;Castro,2018

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