A real-time prediction method for tunnel boring machine cutter-head torque using bidirectional long short-term memory networks optimized by multi-algorithm

A real-time prediction method for tunnel boring machine cutter-head torque using bidirectional long short-term memory networks optimized by multi-algorithm

Based on data from the Jilin Water Diversion Tunnels from the Songhua River (China), an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine (TBM) cutter-head torque is presented. Firstly, a function excluding invalid and abnormal data is established to dis...

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Bibliographic Details
Main Authors: Xing Huang, Quantai Zhang, Quansheng Liu, Xuewei Liu, Bin Liu, Junjie Wang, Xin Yin
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Tunnel boring machine (TBM)
Real-time cutter-head torque prediction
Bidirectional long short-term memory (BLSTM)
Bayesian optimization
Multi-algorithm fusion optimization
Incremental learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775522000439

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http://www.sciencedirect.com/science/article/pii/S1674775522000439

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