Open Access

ARTICLE

Comparative Analysis of ARIMA and LSTM Model-Based Anomaly Detection for Unannotated Structural Health Monitoring Data in an Immersed Tunnel

Qing Ai^1,2, Hao Tian^2,3,*, Hui Wang^1,*, Qing Lang¹, Xingchun Huang¹, Xinghong Jiang⁴, Qiang Jing⁵

1 School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
2 Key Laboratory of Road and Bridge Detection and Maintenance Technology of Zhejiang Province, Hangzhou, 311305, China
3 Zhejiang Scientific Research Institute of Transport, Hangzhou, 310023, China
4 State Key Laboratory of Coal Mine Dynamics and Control, Chongqing University, Chongqing, 400044, China
5 Hong Kong-Zhuhai-Macao Bridge Authority, Zhuhai, 519060, China

* Corresponding Authors: Hao Tian. Email: ; Hui Wang. Email: