Drill Press Velocity Classification through Machine Learning - Velocity Regression and Force Estimation
This project aims at measuring vibrations of a drill press and predict its velocity during load and no load operations.
Classification is performed through a KNN-algorithm and a LSTM Neural Network, comparing the results of the two techniques. To each classified velocity is then associated the corresponding force value, obtained through load-cell measurements.
In the doc folder a brief report and a presentation are available for a quick overview of the project, besides a document explaining code structure. An Italian-only pdf explaining the objectives to be completed is provided too.