Detection and Analysis of GIS Discharge Defects Based on Deep Learninng Method
Author:
Affiliation:
1. State Grid Jiangsu Electric Power Company,Nanjing,China
2. State Grid Jiangsu Electric Power Research Institute,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9759537/9759400/09759566.pdf?arnumber=9759566
Reference19 articles.
1. Investigation of disc-type sensors using the UHF method to detect partial discharge in GIS
2. Distributed Partial Discharge Detection in a Power Transformer Based on Phase-Shifted FBG
3. Relocatable Ultrasonic Array and UHF Combined Sensor Applied to PD Location in Oil
4. Gold-Diaphragm Based Fabry-Perot Ultrasonic Sensor for Partial Discharge Detection and Localization
5. Location of partial discharge in transformer oil using circular array of ultrasonic sensors
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1. Partial discharge localization in power transformer tanks using machine learning methods;Scientific Reports;2024-05-23
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