Influence of Data Balancing on Transformer DGA Fault Classification With Machine Learning Algorithms-Reference-Cited by-同舟云学术

Influence of Data Balancing on Transformer DGA Fault Classification With Machine Learning Algorithms

Published:2023-02 Issue:1 Volume:30 Page:385-392
ISSN:1070-9878
Container-title:IEEE Transactions on Dielectrics and Electrical Insulation
language:
Short-container-title:IEEE Trans. Dielect. Electr. Insul.

Author:

Rajesh Kandala N. V. P. S.¹^ORCID,Rao U. Mohan²^ORCID,Fofana I.²^ORCID,Rozga P.³^ORCID,Paramane Ashish⁴^ORCID

Affiliation:

1. School of Electronics Engineering, VIT-AP University, Amaravati, India

2. Department of Applied Sciences, Research Chair on Aging of Power Network Infrastructure (ViAHT), University of Quebec at Chicoutimi, Saguenay, Canada

3. Institute of Electrical Power Engineering, Lodz University of Technology, Łódź, Poland

4. Department of Electrical Engineering, NIT Silchar, Silchar, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/94/10026623/09991177.pdf?arnumber=9991177

Reference27 articles.

1. Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics

2. Improvement of power transformer insulation diagnosis using oil characteristics data preprocessed by SMOTEBoost technique

3. Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier

4. Statistical Machine Learning and Dissolved Gas Analysis: A Review

5. Statistical Machine Learning and Dissolved Gas Analysis: A Review

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