GIS Partial Discharge Pattern Recognition Based on Time-Frequency Features and Improved Convolutional Neural Network

GIS Partial Discharge Pattern Recognition Based on Time-Frequency Features and Improved Convolutional Neural Network

Different types of partial discharge (PD) in gas-insulated switchgear (GIS) cause different damage to GIS insulation, correctly identifying the PD type is very important for evaluating the insulation status of GIS. This paper proposes a PD pattern recognition method based on an improved feature fusi...

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Bibliographic Details
Main Authors: Jianfeng Zheng, Zhichao Chen, Qun Wang, Hao Qiang, Weiyue Xu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
partial discharge
time-frequency features
wavelet transform
convolutional neural network
pattern recognition
Online Access:https://www.mdpi.com/1996-1073/15/19/7372

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