Intelligent optimization prediction of screw conveyor speed for earth pressure balance shield machine based on complete ensemble empirical mode decomposition of adaptive noise and deep learning-Reference-Cited by-同舟云学术

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Intelligent optimization prediction of screw conveyor speed for earth pressure balance shield machine based on complete ensemble empirical mode decomposition of adaptive noise and deep learning

Published:2025-01 Issue: Volume:240 Page:115614
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Liu Xuanyu,Jiang Mengting,Zhang Wenshuai,Shao Cheng,Wang Yudong,Cong Qiumei

Funder

National Natural Science Foundation of China

Department of Education of Liaoning Province

Publisher

Elsevier BV

Reference28 articles.

1. Optimal control for earth pressure balance of shield machine based on action-dependent heuristic dynamic programming[J];Liu;ISA Trans.,2019

2. A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque[J];Shi;Knowl.-Based Syst.,2021

3. Deep learning technologies for shield tunneling: challenges and opportunities[J];Zhou;Autom. Constr.,2023

4. Rock mass type prediction for tunnel boring machine using a novel semi-supervised method[J];Yu;Measurement,2021

5. Improved analytical method for evaluating the responses of a shield tunnel to adjacent excavations and its application[J];Liu;Tunn. Undergr. Space Technol.,2020

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