Hydrophobicity classification of polymeric insulators using a masked autoencoder model in vision transformer-Reference-Cited by-同舟云学术

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Hydrophobicity classification of polymeric insulators using a masked autoencoder model in vision transformer

Published:2024-05 Issue: Volume:116 Page:109165
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Panigrahy Satyajit^ORCID,Karmakar Subrata

Publisher

Elsevier BV

Reference24 articles.

1. Deep learning in high voltage engineering: A literature review;Mantach;Energies,2022

2. Review of aging evaluation methods for silicone rubber composite insulators;Zeng;Polymers,2023

3. Contamination level monitoring techniques for high-voltage insulators: A review;Maraaba;Energies,2022

4. Guidance on the measurement of wettability of insulator surfaces,2016

5. Application of machine learning in outdoor insulators condition monitoring and diagnostics;El-Hag;IEEE Trans Instrum Meas,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating Insulator Contamination Using Dielectric Loss Factor: A Comparative Study of Silicone Rubber and Eva Composites;2024

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