A Study on the Ability of Different Non-Intrusive Sensors for Diagnosing Outdoor Insulator Defects
Author:
Affiliation:
1. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Canada
2. Purdue University,Department of Electrical Engineering,Indiana,USA
3. Texas A&M University,Department of Electrical Engineering,Doha,Qatar
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10177268/10177219/10177298.pdf?arnumber=10177298
Reference8 articles.
1. RF-based monitoring and classification of partial discharge on wet silicone rubber surface
2. An antenna device and a detecting device having the same;darwish,2022
3. Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage
4. Application of Machine Learning in Outdoor Insulators Condition Monitoring and Diagnostics
5. High voltage outdoor insulator surface condition evaluation using aerial insulator images
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