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signal
signal
 
 
table
table
 
 
.gitignore
.gitignore
 
 
IDB_drilling_monitoring.ipynb
IDB_drilling_monitoring.ipynb
 
 
IDB_drilling_monitoring_cvae.ipynb
IDB_drilling_monitoring_cvae.ipynb
 
 
IDB_drilling_monitoring_evaluation.ipynb
IDB_drilling_monitoring_evaluation.ipynb
 
 
IDB_drilling_monitoring_lime.ipynb
IDB_drilling_monitoring_lime.ipynb
 
 
IDB_drilling_monitoring_predict.ipynb
IDB_drilling_monitoring_predict.ipynb
 
 
IDB_drilling_monitoring_regression.ipynb
IDB_drilling_monitoring_regression.ipynb
 
 
IDB_drilling_monitoring_shap.ipynb
IDB_drilling_monitoring_shap.ipynb
 
 
IDB_drilling_monitoring_signal.ipynb
IDB_drilling_monitoring_signal.ipynb
 
 
IDB_drilling_monitoring_training.ipynb
IDB_drilling_monitoring_training.ipynb
 
 
README.md
README.md
 
 

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Project 2023.09.14 — 2024.06.27

Sun, W., Tao, Y., Wang, Z., Tan, S., Duan, L., & Fang, X. (2024). Deep Learning–Assisted Parameter Monitoring and Optimization in Rotary-Percussive Drilling. SPE Journal, 29(10), 5258-5271. https://doi.org/10.2118/221497-PA

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regression cvae signal-classification 1d-cnn

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