Preprocessing for Unintended Conducted Emissions Classification with ResNet

Preprocessing for Unintended Conducted Emissions Classification with ResNet

Characterization of Unintended Conducted Emissions (UCE) from electronic devices is important when diagnosing electromagnetic interference, performing nonintrusive load monitoring (NILM) of power systems, and monitoring electronic device health, among other applications. Prior work has demonstrated...

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Bibliographic Details
Main Authors: Gregory Sheets, Philip Bingham, Mark B. Adams, David Bolme, Scott L. Stewart
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
unintended conducted emissions
nonintrusive load monitoring
neural networks
windowing
fast Fourier transform
classification
Online Access:https://www.mdpi.com/2076-3417/11/19/8808

Internet

https://www.mdpi.com/2076-3417/11/19/8808

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