Machine learning techniques to classify drill bit wear and rock strength from drilling

Machine learning techniques to classify drill bit wear and rock strength from drilling

<p dir="ltr"><b>Numerical data used for the study</b></p><ol><li>Numerical data was generated using a lumped parameter axial-torsional model by Gupta and Wahi, 2016.</li><li>The files in the Matlab and Maple files folder contain the results o...

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Bibliographic Details
Main Author: Jong Park (21756368) (author)
Other Authors: Stephan Heyns (12065027) (author)
Published: 2025
Subjects:
Signal processing
Dynamics, vibration and vibration control
Mechanical engineering asset management
Numerical modelling and mechanical characterisation
Modelling and simulation
Neural networks
Machine learning not elsewhere classified
Rock drilling vibrations
Random forest
Convolutional neural network
Rock strength classification
Drill bit wear classification
SDG 7 Affordable and clean energy
SDG 9 Industry, innovation and infrastructure
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