A Study on Partial Discharge Fault Identification in GIS Based on Swin Transformer-AFPN-LSTM Architecture

Aiming at the problem of manual feature extraction and insufficient mining of feature information for partial discharge pattern recognition under different insulation faults in GIS, a deep learning model based on phase and timing features with Swin Transformer-AFPN-LSTM architecture is proposed. Fir...

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Bibliographic Details
Main Authors: Jiawei Li, Shangang Ma, Fubao Jin, Ruiting Zhao, Qiang Zhang, Jiawen Xie
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/16/2/110
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