A Convolutional Neural Network-Based Model for Multi-Source and Single-Source Partial Discharge Pattern Classification Using Only Single-Source Training Set

A Convolutional Neural Network-Based Model for Multi-Source and Single-Source Partial Discharge Pattern Classification Using Only Single-Source Training Set

Classification of the sources of partial discharges has been a standard procedure to assess the status of insulation in high voltage systems. One of the challenges while classifying these sources is the decision on the distinct properties of each one, often requiring the skills of trained human expe...

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Bibliographic Details
Main Authors: Sara Mantach, Ahmed Ashraf, Hamed Janani, Behzad Kordi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
partial discharges
phase resolved partial discharge
insulation systems
automated pattern recognition
deep Learning
convolution neural network
Online Access:https://www.mdpi.com/1996-1073/14/5/1355

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