Dynamic wavelet neural network model for damage features extraction and patterns recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13349-023-00683-8.pdf
Reference67 articles.
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2. Bedon C, Noè S (2021) Post-breakage vibration frequency analysis of in-service pedestrian laminated glass modular units. Vibration 4(4):836–852. https://doi.org/10.3390/vibration4040047
3. Bedon C (2019) Issues on the vibration analysis of in-service laminated glass structures: Analytical, experimental and numerical investigations on delaminated beams. Appl Sci. https://doi.org/10.3390/app9183928
4. Silik A, Noori M, Altabey WA, Dang J, Ghiasi R, Wu Z (2021) Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: a comparative study. Struct Heal Monit. https://doi.org/10.1177/14759217211010261
5. 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. https://doi.org/10.1016/j.ymssp.2020.107077
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