Key Gases in Transformer Oil – An Analysis using Self Organizing Map (SOM) Neural Networks-Reference-Cited by-同舟云学术

Key Gases in Transformer Oil – An Analysis using Self Organizing Map (SOM) Neural Networks

Published:2023-04-08 Issue: Volume: Page:
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Container-title:2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Raj Raymon Antony¹,Sarathkumar D¹,Andrews Leo John Baptist²,Venkatachary Sampath Kumar³

Affiliation:

1. Kongu Engineering College,Department of Electrical and Electronics Engineering,Erode district,Tamilnadu,India,638 060

2. Botho University,Faculty of Engineering and Technology,Department of Information Technology,Gaborone,Botswana

3. Grant Thornton, Botswana Plot,Acument Park, Fair Grounds,Gaborone,Botswana,50370

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134573/10134574/10134597.pdf?arnumber=10134597

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3. Investigation of Survival/Hazard Rate of Natural Ester Treated with Al2O3 Nanoparticle for Power Transformer Liquid Dielectric

4. Dissolved Gas Analysis Equipment for Online Monitoring of Transformer Oil: A Review;sergio;MDPI Sensors,2019

5. Conversion of non-edible Baobab oil as an alternative cooling medium in transformers and practicability analysis of ageing using Euler's method and artificial neural network;venkatachary;Biomass Conversion and Biorefinery,2022

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