Partial Discharge Classification Using Deep Learning Methods—Survey of Recent Progress

Partial Discharge Classification Using Deep Learning Methods—Survey of Recent Progress

This paper examines the recent advances made in the field of Deep Learning (DL) methods for the automated identification of Partial Discharges (PD). PD activity is an indication of the state and operational conditions of electrical equipment systems. There are several techniques for on-line PD measu...

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Bibliographic Details
Main Authors: Sonia Barrios, David Buldain, María Paz Comech, Ian Gilbert, Iñaki Orue
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Energies
Subjects:
partial discharges
fault recognition
fault diagnosis
deep neural network
deep learning
machine learning
Online Access:https://www.mdpi.com/1996-1073/12/13/2485

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https://www.mdpi.com/1996-1073/12/13/2485

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