Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network-Reference-Cited by-同舟云学术

Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network

Published:2021-04 Issue: Volume:151 Page:107386
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Qin Chengjin,Shi Gang,Tao Jianfeng,Yu Honggan,Jin Yanrui,Lei Junbo,Liu Chengliang

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference48 articles.

1. Pose and trajectory control of shield tunneling machine in complicated stratum;Wang;Autom. Constr.,2018

2. Coupled modeling and dynamic characteristics of TBM cutterhead system under uncertain factors;Huo;Mech. Syst. Sig. Process.,2020

3. Vibration suppression of tunnel boring machines using non-resonance approach;Yang;Mech. Syst. Sig. Process.,2020

4. Analysis and study on crack characteristics of Highway Tunnel Lining;Zhang;Civ. Eng. J.,2019

5. Displacement and deformation of the first tunnel lining during the second tunnel construction;Wu;Civ. Eng. J.,2019

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