Research on Digital Twin Model and Visualization of Power Transformer
Author:
Affiliation:
1. Huaqiao University,College of Information Science and Engineering,Xiamen,Country
2. Huaqiao University,College of Information Science and Engineering,Xiamen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9702148/9702125/09702244.pdf?arnumber=9702244
Reference16 articles.
1. A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis
2. Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique
3. Analysis of partial discharge patterns of natural ester oil and mineral oil used in power transformer
4. Dynamic Data Driven Modeling and Simulation for Digital Twin[J];peng;Systems Engineering and Electronics,2020
5. Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
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