Detection and Classification of Fault Types in Distribution Lines by Applying Contrastive Learning to GAN Encoded Time-Series of Pulse Reflectometry Signals-Reference-Cited by-同舟云学术

Detection and Classification of Fault Types in Distribution Lines by Applying Contrastive Learning to GAN Encoded Time-Series of Pulse Reflectometry Signals

Published:2022 Issue: Volume:10 Page:110521-110536
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fornas Javier Granado¹^ORCID,Jaraba Elias Herrero²^ORCID,Estopinan Andres Llombart¹^ORCID,Saldana Jose¹^ORCID

Affiliation:

1. CIRCE Technology Center, Zaragoza, Spain

2. Department of Electronic Engineering and Communications, University of Zaragoza, Zaragoza, Spain

Funder

Interoperable solutions for implementing holistic FLEXIbility services in the distribution GRID (FLEXIGRID) Project from the European Union’s Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09919840.pdf?arnumber=9919840

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