Energy-driven TBM health status estimation with a hybrid deep learning approach

Yongsheng Li a, Limao Zhang a b, Yue Pan c, Serkan Tapkn d, Xieqing Song a

a School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei 430074, China

b National Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei 430074, China

c State Key Laboratory of Ocean Engineering, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Department of Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China

d Faculty of Engineering, Department of Civil Engineering, Bayburt University, Bayburt 69010, Turkey

https://www.sciencedirect.com/science/article/abs/pii/S0957417424005670