Characterization of Partial Discharges in Dielectric Oils Using High-Resolution CMOS Image Sensor and Convolutional Neural Networks

Characterization of Partial Discharges in Dielectric Oils Using High-Resolution CMOS Image Sensor and Convolutional Neural Networks

In this work, an exhaustive analysis of the partial discharges that originate in the bubbles present in dielectric mineral oils is carried out. To achieve this, a low-cost, high-resolution CMOS image sensor is used. Partial discharge measurements using that image sensor are validated by a standard e...

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Bibliographic Details
Main Authors: José Miguel Monzón-Verona, Pablo González-Domínguez, Santiago García-Alonso
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
partial discharges
mineral oils
CMOS image sensor
convolutional neural network
deep learning
non-destructive diagnosis
Online Access:https://www.mdpi.com/1424-8220/24/4/1317

Internet

https://www.mdpi.com/1424-8220/24/4/1317

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