Research on Diagnosis Technology for Ultra High Voltage Gas Operations Based on Ensemble Learning-Reference-Cited by-同舟云学术

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Research on Diagnosis Technology for Ultra High Voltage Gas Operations Based on Ensemble Learning

Published:2024-04-11 Issue: Volume:121 Page:1323-1327
ISSN:
Container-title:2024 9th Asia Conference on Power and Electrical Engineering (ACPEE)
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Author:

Song Jiming¹,Mao Jibing²,Qiu Ning¹,Hou Lei²,Zhang Qizhe³,Zhang Pengfei¹,Kong Weili⁴,Zhao Dongwei⁵

Affiliation:

1. State Grid Corporation of China,Beijing,China

2. State Grid UHV Engineering Construction Company,Beijing,China

3. China Electric Power Research Institute,Artificial Intelligence Application Research Department,Beijing,China

4. Beijing North-Star Technology Development Co., Ltd,Beijing,China

5. Henan PingGao Electric Co., Ltd,Henan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532251/10532216/10532224.pdf?arnumber=10532224

Reference12 articles.

1. Ultra-high Voltage Transmission and Regional Economic Development: Empirical Evidence from UHV Projects[J/OL];Yu;Journal of Quantitative & Technological Economics,2023

2. Ultra-wide band Detection of Pulse Current in DC Withstand Voltage PD Test, Part 2: Waveform transformation

3. Primary Differential Pulse Method for Partial-Discharge Detection of Oil-Immersed Inverted Current Transformers

4. Comparative investigations using UHF and conventional PD-measuring equipment for the detection of artificial failures in a 110-kV-XLPE-cable termination

5. On-site experiences with multi-terminal IEC PD measurements, UHF PD measurements and acoustic PD localisation

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