A cosine similarity-based method for improving the accuracy of GIS discharge spectrum recognition

A cosine similarity-based method for improving the accuracy of GIS discharge spectrum recognition

The study of effective feature extraction and optimization algorithms is crucial for improving the accuracy of partial discharge （PD） detection in gas-insulated switchgear （GIS）. To enhance the precision and reliability of GIS partial discharge detection by utilizing the phase information in dischar...

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Bibliographic Details
Main Authors: CHEN Xiaoxin, ZHOU Tonghao, LIU Jiangming, DAI Pengfei, LIU Yanqi, LI Wendong, ZHANG Guanjun
Format: Article
Language:zho
Published: zhejiang electric power 2025-02-01
Series:Zhejiang dianli
Subjects:
gis
pd
neural network
cosine similarity calculation
discharge phase spectrum
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=c19ef394-a838-4078-b040-7f84d415fa02
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https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=c19ef394-a838-4078-b040-7f84d415fa02

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