RF Plasma Generator Health Monitoring using Machine Learning

Our project is a machine learning and deep learning approach to failure detection in RF plasma generators. Our project implements and evaluates a linear regression model, a Random Forest machine learning model, and a convolutional neural network (CNN) model. These are implemented on traditional PCs, an ARM processor, and a Xilinx FPGA.