A Knowledge Graph Completion Method for the Power Transformer Based on Graph Neural Network and TransR-Reference-Cited by-同舟云学术

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A Knowledge Graph Completion Method for the Power Transformer Based on Graph Neural Network and TransR

Published:2024-05-10 Issue: Volume: Page:451-458
ISSN:
Container-title:2024 IEEE 7th International Electrical and Energy Conference (CIEEC)
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Author:

He Hongying¹,Luo Guangwei¹,Zhu Jizhong²,Luo Diansheng¹,Liang Wenju³,Liu Nan¹

Affiliation:

1. College of Electrical and Information Engineering, Hunan University,Changsha,China

2. Electric Power Engineering, South China University of Technology,Guangdong,China

3. State Grid Corporation of China Southwest Branch,Planning Department,Sichuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582916/10582978/10583716.pdf?arnumber=10583716

Reference16 articles.

1. Transformer Vibration Detection Based on YOLOv4 and Optical Flow in Background of High Proportion of Renewable Energy Access

2. Fault Diagnosis and System Reconfiguration Strategy of Single-phase Three Level Neutral-Point-Clamped Cascaded Inverter

3. A State Estimator-Based Approach for Open-Circuit Fault Diagnosis in Single-Phase Cascaded H-Bridge Rectifiers

4. Health Status Assessment for LCESs Based on Multidiscounted Belief Rule Base

5. Reliability Evaluation of Phasor Measurement Unit Using Monte Carlo Dynamic Fault Tree Method

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