Research on Machine Learning Method for Ultrasonic Temperature Measurement of Transformer
Author:
Affiliation:
1. Shandong University,School of Electrical Engineering,Jinan,China
2. State Grid Shandong Jinan Electric Power Company,Jinan,China
3. State Grid Shandong Qingdao Electric Power Company,Qingdao,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10139313/10138934/10138946.pdf?arnumber=10138946
Reference6 articles.
1. Hot spot temperature models based on top-oil temperature for oil immersed transformers
2. Real-Time Optical Fiber-Based Distributed Temperature Monitoring of Insulation Oil-Immersed Commercial Distribution Power Transformer
3. Raman spectrum feature extraction and diagnosis of oil–paper insulation ageing based on kernel principal component analysis
4. Partial Discharge Localization Inside Transformer Windings via Fiber-Optic Acoustic Sensor Array
5. Real-Time Monitoring of Temperature Rises of Energized Transformer Cores With Distributed Optical Fiber Sensors
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