A Conversion of Signal to Image Method for Two-Dimension Convolutional Neural Networks Implementation in Power Quality Disturbances Identification

A Conversion of Signal to Image Method for Two-Dimension Convolutional Neural Networks Implementation in Power Quality Disturbances Identification

The power quality is identified and monitored to prevent the worst effects arise on the electrical devices. These effects can be device failure, performance degradation, and replacement of some device parts. The deep convolutional neural networks (DCNNs) method can extract the complexity of image fe...

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Bibliographic Details
Main Authors: Sunneng Sandino Berutu, Yeong-Chin Chen, Heri Wijayanto, Haeni Budiati
Format: Article
Language:English
Published: Politeknik Negeri Padang 2022-12-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
power quality disturbances
conversion
identification
convolutional neural network.
Online Access:https://joiv.org/index.php/joiv/article/view/1529

Internet

https://joiv.org/index.php/joiv/article/view/1529

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