Abnormal data detection for structural health monitoring: State-of-the-art review

Abnormal data detection for structural health monitoring: State-of-the-art review

Structural health monitoring (SHM) is widely used to monitor and assess the condition and performance of engineering structures such as, buildings, bridges, dams, and tunnels. Owing to sensor defects, data acquisition errors, and environmental interference, abnormal data are often collected and stor...

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Bibliographic Details
Main Authors: Yang Deng, Yingjie Zhao, Hanwen Ju, Ting-Hua Yi, Aiqun Li
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Developments in the Built Environment
Subjects:
Structural health monitoring
Abnormal data detection
Statistical probability method
Predictive model
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S2666165924000188

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http://www.sciencedirect.com/science/article/pii/S2666165924000188

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