Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders

Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders

High-impedance faults (HIF) are difficult to detect because of their low current amplitude and highly diverse characteristics. In recent years, machine learning (ML) has been gaining popularity in HIF detection because ML techniques learn patterns from data and successfully detect HIFs. However, as...

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Bibliographic Details
Main Authors: Khushwant Rai, Farnam Hojatpanah, Firouz Badrkhani Ajaei, Katarina Grolinger
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
high-impedance fault
power system protection
unsupervised learning
deep learning
convolutional autoencoder
convolutional neural network
Online Access:https://www.mdpi.com/1996-1073/14/12/3623

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https://www.mdpi.com/1996-1073/14/12/3623

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