Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: a deep learning approach

• Main Authors: Fu, Xianlei, Zhang, Limao
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Spatio-Temporal Prediction; Penetration Rate
• Online Access: https://hdl.handle.net/10356/160754
• Institution: Nanyang Technological University

This research provides a spatio-temporal approach to perform real-time forecasting for the tunnel boring machine (TBM) operating parameters. By extracting the real-time TBM operational data from the data acquisition system, a Long Short-Term Memory (LSTM) based deep learning model is trained for acc...