Chris C Pappas

Power Electronics Engineer

Contact

pappasgc@ornl.gov

Publications

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders...

Journal: Digital Signal Processing

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...

Journal: Proceedings of the International Particle Accelerator Conference (IPAC)

August, 2021

Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators...

Journal: Proceedings of 2021 Particle Accelerator Conference,

May, 2021

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