Identification of Partial Discharge Based on Composite Optical Detection and Transformer-Based Deep Learning Model-Reference-Cited by-同舟云学术

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Identification of Partial Discharge Based on Composite Optical Detection and Transformer-Based Deep Learning Model

Published:2024 Issue: Volume: Page:1-8
ISSN:0093-3813
Container-title:IEEE Transactions on Plasma Science
language:
Short-container-title:IEEE Trans. Plasma Sci.

Author:

Guo Jiyuan¹,Zhao Shicheng²,Huang Bangdou²^ORCID,Wang Hang³,He Yi¹^ORCID,Zhang Chuyan¹^ORCID,Zhang Cheng²^ORCID,Shao Tao²^ORCID

Affiliation:

1. School of Information Engineering, China University of Geosciences (Beijing), Beijing, China

2. Beijing International S and T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China

3. Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Young Elite Scientist Sponsorship Program by China Association for Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/27/4360151/10488763.pdf?arnumber=10488763

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1. Partial Discharge Source Classification in Power Transformers: A Systematic Literature Review;Applied Sciences;2024-07-12

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