A Novel DGA Oil Interpretation Approach Based on Combined Techniques-Reference-Cited by-同舟云学术

A Novel DGA Oil Interpretation Approach Based on Combined Techniques

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 23rd International Middle East Power Systems Conference (MEPCON)
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Author:

Badawi Mohamed¹,Ibrahim Shimaa A.¹,EL-Faraskoury Adel²,Mansour Diaa-Eldin A.³,Ward Sayed A.¹

Affiliation:

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

2. Egyptian Electricity Holding Company,Extra High Voltage Research Centre

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10021629/10021685/10021795.pdf?arnumber=10021795

Reference21 articles.

1. Conventional ratio and artificial intelligence (AI) diagnostic methods for DGA in electrical transformers;samy;International Electrical Engineering Journal (IEEJ),2015

2. Proposed heptagon graph for DGA interpretation of oil transformers

3. Novel power transformer fault diagnosis using optimized machine learning methods;taha;Intelligent Automation & Soft Computing,2021

4. Power Transformer Interruption Analysis Based on Dissolved Gas Analysis (DGA) using Artificial Neural Network

5. Conditional probability‐based interpretation of dissolved gas analysis for transformer incipient faults

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