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