Thomas Britton

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Time Series Anomaly Detection in Power Electronics Signals with Recurrent and Convlstm Autoencoders

Number of pages: 24 Posted: 29 Mar 2022
Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram and Sarah Cousineau
Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Thomas Jefferson National Accelerator Facility, Newport News, affiliation not provided to SSRN, Thomas Jefferson National Accelerator Facility, Newport News, Thomas Jefferson National Accelerator Facility, Newport News and Government of the United States of America - Oak Ridge National Laboratory
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anomaly detection, Autoencoders, ConvLSTM, High Voltage Converter Modulator, Spallation Neutron Source