Structural health monitoring using high-dimensional features from time series modeling by innovative hybrid distance-based methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s13349-020-00466-5.pdf
Reference37 articles.
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3. Li H-N, Ren L, Jia Z-G, Yi T-H, Li D-S (2016) State-of-the-art in structural health monitoring of large and complex civil infrastructures. J Civ Struct Health Monit 6(1):3–16. https://doi.org/10.1007/s13349-015-0108-9
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 Signal Process 140:106495. https://doi.org/10.1016/j.ymssp.2019.106495
5. Daneshvar MH, Gharighoran A, Zareei SA, Karamodin A (2020) Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge. Struct Infrastruct Eng 17:1–19
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