An Improved Fault Localization Method for Direct Current Filters in HVDC Systems: Development and Application of the DRNCNN Model

An Improved Fault Localization Method for Direct Current Filters in HVDC Systems: Development and Application of the DRNCNN Model

This paper focus on direct current (DC) filter grounding faults to propose a novel dilated normalized residual convolutional neural network (DRNCNN) fault diagnosis model for high-voltage direct current (HVDC) transmission systems. To address the insufficiency of the traditional model’s receptive fi...

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Bibliographic Details
Main Authors: Xiaohui Liu, Haofeng Liu, Hui Qiao, Sihan Zhou, Liang Qin
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machines
Subjects:
CNN
HVDC
DC filter
ground fault localization
high-accuracy diagnostics
Online Access:https://www.mdpi.com/2075-1702/12/3/185

Internet

https://www.mdpi.com/2075-1702/12/3/185

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