Classification and Prediction of Incipient Faults in Transformer Oil by Supervised Machine Learning using Decision Tree-Reference-Cited by-同舟云学术

Classification and Prediction of Incipient Faults in Transformer Oil by Supervised Machine Learning using Decision Tree

Published:2023-03-18 Issue: Volume: Page:
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Container-title:2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)
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Author:

Raj Raymon Antony¹,D Sarathkumar¹,Venkatachary Sampath Kumar²,Andrews Leo John Baptist³

Affiliation:

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

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134757/10134565/10134566.pdf?arnumber=10134566

Reference25 articles.

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

2. Enhancing the critical characteristics of natural esters with antioxidants for power transformer applications;raj;IEEE Transactions on Dielectrics and Electrical Insulation,2013

3. Enhancement of dielectric properties of Baobab Oil and Mongongo Oil using costeffective additive for power transformer insulating fluids;raymon;Environmental Technology & Innovation,2020

4. Application of Dissolved Gas Analysis in Assessing Degree of Healthiness or Faultiness with Fault Identification in Oil-Immersed Equipment;george;MDPI Energies,2020

5. Decision making on the state of transformersbased on insulation condition using AHP andTOPSIS methods;rengaraj;IET Science Measurement & Technology,2018

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