From Theory to Reality: Advanced SHM Methods to the Tadcaster Bridge
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53995-4_4
Reference9 articles.
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2. Entezami A, Sarmadi H, Salar M, De Michele C, Nadir Arslan A (2021) A novel data-driven method for structural health monitoring under ambient vibration and high dimensional features by robust multidimensional scaling. Struct Health Monit 20(5):2758–2777. https://doi.org/10.1177/1475921720973953
3. Rébillat M, Hmad O, Kadri F, Mechbal N (2018) Peaks over threshold–based detector design for structural health monitoring: application to aerospace structures. Struct Health Monit 17(1):91–107. https://doi.org/10.1177/1475921716685039
4. Sarmadi H, Karamodin A (2020) A novel anomaly detection method based on adaptive Mahalanobis-squared distance and one-class kNN rule for structural health monitoring under environmental effects. Mech Syst Sig Process 140:106495. https://doi.org/10.1016/j.ymssp.2019.106495
5. Sarmadi H, Yuen K-V (2021) Early damage detection by an innovative unsupervised learning method based on kernel null space and peak-over-threshold. Comput Aided Civ Inf 36(9):1150–1167. https://doi.org/10.1111/mice.12635
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