Oil Condition Assessment for Aged Transformers Based on Dissolved Gas Analysis-Reference-Cited by-同舟云学术

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Oil Condition Assessment for Aged Transformers Based on Dissolved Gas Analysis

Published:2023-12-19 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 24th International Middle East Power System Conference (MEPCON)
language:
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Author:

El-Faraskoury Adel¹,Ward Sayed A.²,Mansour Diaa-Eldin A.³,Ibrahim Shimaa A.²,Badawi Mohamed²

Affiliation:

1. Extra High Voltage Research Centre Egyptian Electricity Holding Company

2. Benha University,Faculty of Engineering at Shoubra,Department of Electrical Engineering

3. Egypt-Japan University of Science and Technology,School of Electronics, Communications and Computer Engineering,Electrical Power Engineering Department,Alexandria,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10462248/10462249/10462259.pdf?arnumber=10462259

Reference27 articles.

1. Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

2. Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic

3. Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings

4. Novel Power Transformer Fault Diagnosis Using Optimized Machine Learning Methods

5. Development of a new graphical technique for dissolved gas analysis in power transformers based on the five combustible gases

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