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

<b>Numerical data used for the study</b>Numerical data was generated using a lumped parameter axial-torsional model by Gupta and Wahi, 2016.The files in the Matlab and Maple files folder contain the results of the simulations and the scripts used to generate them, respectively.<b>Information about experimental drilling</b>The measurements from experimental drilling can be found in the files named JB_TEST1_trialx.The details of the instrumentation are found here.The images of rocks are rocks used for experimental drilling.The images of drill bits show the state of the drill bit at the specified time mentioned in the name.The drill bit log shows which rocks were used for drilling and the drill bit condition for the operation.<b>Script used for processing data</b>Copy of MEng Main is the Jupyter notebook used to import and pre-process the data and feed the features through the machine learning models.<br>