A Structural Health Monitoring Technique for the Analysis of Big Data of Bridges
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5783-3_5
Reference57 articles.
1. Li HN, Ren L, Jia ZG, Yi TH, Li DS (2016) State-of-the-art in structural health monitoring of large and complex civil infrastructures. J Civ Struct Heal Monit 6:3–16
2. Cremona C, Santos J (2018) Structural health monitoring as a big-data problem. Struct Eng Int 28(11):1–11
3. Meng X, Nguyen DT, Xie Y, Owen JS, Psimoulis P, Ince S, Chen Q, Ye J, Bhatia P (2018) Design and implementation of a new system for large bridge monitoring—geoshm. Sensors (Switzerland) 18(3):775
4. Entezami A, Sarmadi H, Behkamal B, Mariani S (2020) Big data analytics and structural health monitoring: a statistical pattern recognition-based approach. Sensors (Switzerland) 20(8):2328
5. Gui G, Pan H, Lin Z, Li Y, Yuan Z (2017) Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection. KSCE J Civ Eng 21:523–534
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