Contact Defect Detection of Gas-Insulated Line Via Thermal–Vibration Feature Fusion and Deep Neural Network Technique-Reference-Cited by-同舟云学术

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Contact Defect Detection of Gas-Insulated Line Via Thermal–Vibration Feature Fusion and Deep Neural Network Technique

Published:2024 Issue: Volume:73 Page:1-8
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Li Hongtao¹^ORCID,Zhao Ke¹^ORCID,Yang Jinggang¹,Gao Shan¹^ORCID

Affiliation:

1. State Grid Jiangsu Electric Power Research Institute, Nanjing, China

Funder

Jiangsu Electric Power Company Project “Research on Key Technologies for Reliability Evaluation of Health Status and Time-Varying Damage of Combined Electrical Appliances”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10308752.pdf?arnumber=10308752

Reference28 articles.

1. Application and development of gas insulated transmission line (GIL);Xiao;High Voltage Eng.,2017

2. Simulation on electric field distribution of 1 100kV AC tri-post insulator influenced by defects;Liu;J. Electrotechnics,2022

3. A review of some critical aspects of insulation design of GIS/GIL systems

4. Gas-Insulated Transmission Lines (GIL)

5. Thermal characteristics analysis of environmentally friendly GIS based on multi-field coupling;Niu;J. Electrotechnics,2020

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