Effective alerting for bridge monitoring via a machine learning-based anomaly detection method
| Author(s): |
Juntao Kang
(Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)
Lei Wang 
(Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)
Wenbin Zhang (Wuhan Urban Roads, Bridges and Tunnels Affairs Center, Wuhan, China) Jun Hu
(Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)
Xingxiang Chen (Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China) Dong Wang (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China) Zechuan Yu (Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241265286 |
- About this
data sheet - Reference-ID
10797495 - Published on:
01/09/2024 - Last updated on:
01/09/2024
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