Improving the accuracy of an ANN model for transformer condition assessment using the SMOTE-R2E method

Hartomo, KD; Nataliani, Y; Indrajaya, D; Wahab, NHA; Rahardja, U; Dewi, C

Improving the accuracy of an ANN model for transformer condition assessment using the SMOTE-R2E method

journal contribution

posted on 2025-02-24, 04:27 authored by KD Hartomo, Y Nataliani, D Indrajaya, NHA Wahab, U Rahardja, C Dewi

Improving the accuracy of an ANN model for transformer condition assessment using the SMOTE-R2E method

History

Journal

International Journal of Applied Science and Engineering

Volume

21

Article number

2024117

Pagination

1-15

Location

Beijing, China

Publisher DOI

https://doi.org/10.6703/IJASE.202412_21(5).003

Open access

Yes

ISSN

1727-2394

eISSN

1727-7841

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

5

Publisher

Chaoyang University of Technology

Publication URL

https://gigvvy.com/journals/ijase/articles/ijase-202412-21-5-003

Improving the accuracy of an ANN model for transformer condition assessment using the SMOTE-R2E method

History

Journal

Volume

Article number

Pagination

Location

Publisher DOI

Open access

ISSN

eISSN

Language

Publication classification

Issue

Publisher

Publication URL

Usage metrics

Categories

Keywords

Licence

Exports