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.
Topics
Exhibitor
Quinn Leydon
Arjun Thangaraju
Eric Hamm
rnp5285
Advisor(s)
Alan Dawson
Organization
Senior Design
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