G Chris Pappas Power Electronics Engineer Contact pappasgc@ornl.gov All Publications Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders... Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems Progress on Machine Learning for the SNS High Voltage Converter Modulators... Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators Multi-module-based CVAE to predict HVCM faults in the SNS accelerator... Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators... Progress in development of pulsed resonant charging power supply for the Spallation Neutron Source extraction kicker PFN system Final Design Report Proton Power Upgrade Project... Organizations Neutron Sciences Directorate