A Real Data-Driven Fault Diagnosing Method for Distribution Networks Based on ResBlock-CBAM-CNN

A Real Data-Driven Fault Diagnosing Method for Distribution Networks Based on ResBlock-CBAM-CNN

Power distribution systems frequently encounter various fault-causing events. Thus, prompt and accurate fault diagnosis is crucial for maintaining system stability and safety. This study presents an innovative residual block-convolutional block attention module-convolutional neural network (ResBlock...

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Bibliographic Details
Main Authors: Yuhai Yao, Hao Ma, Cheng Gong, Yifei Li, Qiao Zhao, Ning Wei, Bin Yang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Electricity
Subjects:
convolutional block attention module
power distribution network
fault cause diagnosis
machine learning
Online Access:https://www.mdpi.com/2673-4826/6/2/19
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