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Precise transformer fault diagnosis via random forest model enhanced by synthetic minority over-sampling technique

Year of publication

2023

Authors

Prasojo, Rahman Azis; Putra, Muhammad Akmal A.; Ekojono, ; Apriyani, Meyti Eka; Rahmanto, Anugrah Nur; Ghoneim, Sherif S.M.; Mahmoud, Karar; Lehtonen, Matti; Darwish, Mohamed M.F.

Organizations and authors

Aalto University

Mahmoud Karar Orcid -palvelun logo

Lehtonen Matti Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

ELECTRIC POWER SYSTEMS RESEARCH

Publisher

Elsevier Science Inc.

Volume

220

Article number

109361

ISSN

0378-7796

​Publication forum

55123

​Publication forum level

2

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Electronic, automation and communications engineering, electronics

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1016/j.epsr.2023.109361

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes