The Klystron and RF System Error Analysis and Prediction Project is a pilot study to try to predict klystron faults based on archived Process Variable values, message logs and CATER. It is a collaboration between SLAC and UC Berkeley students taking a class in Machine Learning.
This page gives data references for the project.
