Real-time Deep Neural Networks for internet-enabled arc-fault detection

Real-time Deep Neural Networks for internet-enabled arc-fault detection

We examine methods for detecting and disrupting electronic arc faults, proposing an approach leveraging Internet of Things connectivity, artificial intelligence, and adaptive learning. We develop Deep Neural Networks (DNNs) taking Fourier coefficients, Mel-Frequency Cepstrum data, and Wavelet featur...

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Bibliographic Details
Main Authors: Siegel, Joshua E, Pratt, Shane Richard, Sun, Yongbin, Sarma, Sanjay E
Other Authors: Massachusetts Institute of Technology. Office of Digital Learning
Format: Article
Language:en_US
Published: Elsevier 2019
Online Access:https://hdl.handle.net/1721.1/121372

Internet

https://hdl.handle.net/1721.1/121372

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