G Chris Pappas Power Electronics Engineer Contact pappasgc@ornl.gov Publications Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders... October, 2022 Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems October, 2022 Progress on Machine Learning for the SNS High Voltage Converter Modulators... August, 2022 Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators May, 2021 Multi-module-based CVAE to predict HVCM faults in the SNS accelerator... September, 2023 Pagination Current page 1 Page 2 Next page ›› Last page Last » View All Organizations Neutron Sciences Directorate
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders... October, 2022
Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems October, 2022
Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators May, 2021