Artificial Generation of Partial Discharge Sources Through an Algorithm Based on Deep Convolutional Generative Adversarial Networks

Artificial Generation of Partial Discharge Sources Through an Algorithm Based on Deep Convolutional Generative Adversarial Networks

The measurement of partial discharges (PD) in electrical equipment or machines subjected to high voltage can be considered as one of the most important indicators when assessing the state of an insulation system. One of the main challenges in monitoring these degradation phenomena is to adequately m...

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Bibliographic Details
Main Authors: Jorge Alfredo Ardila-Rey, Jesus Eduardo Ortiz, Werner Creixell, Firdaus Muhammad-Sukki, Nurul Aini Bani
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Partial discharge
electrical noise sources
machine learning
spectral power clustering technique
clustering
Online Access:https://ieeexplore.ieee.org/document/8979409/

Internet

https://ieeexplore.ieee.org/document/8979409/

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