Anomaly detection in Structural Health Monitoring using spectral distance and t-SNE–GMM framework under ambient excitation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42107-024-01006-y.pdf
Reference59 articles.
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3. Avci, O., Abdeljaber, O., Kiranyaz, S., & Inman, D. (2020). Convolutional neural networks for real-time and wireless damage detection. In Dynamics of Civil Structures, Volume 2: Proceedings of the 37th IMAC, A conference and exposition on structural dynamics 2019 (pp. 129–136). Springer International Publishing.
4. Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj, M., & Inman, D. J. (2021). A review of vibration-based damage detection in civil structures: From traditional methods to machine learning and deep learning applications. Mechanical Systems and Signal Processing, 147, 107077.
5. Bandara, R. P., Chan, T. H., & Thambiratnam, D. P. (2014). Structural damage detection method using frequency response functions. Structural Health Monitoring, 13(4), 418–429.
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