Saberi, A. N., Belahcen, A., Sobra, J., Vaimann, T.

LightGBM-based fault diagnosis of rotating machinery under changing working conditions using modified recursive feature elimination

author

Saberi, Alireza Nemat

Belahcen, Anouar

Sobra, Jan

Vaimann, Toomas

statement of authorship

Alireza Nemat Saberi, Anouar Belahcen, Jan Sobra, Toomas Vaimann

source

IEEE Access

publisher

IEEE

journal volume number month

vol. 10

year of publication

2022

pages

p. 81910-81925

url

https://doi.org/10.1109/ACCESS.2022.3195939

subject term

elektriajamid

masinad

töökindlus

tehisõpe

keyword

electrical machines

bearings

fault diagnosis

feature importance

gradient boosting

hyperparameter optimization

LightGBM

machine learning

ISSN

2169-3536

notes

Bibliogr.: 54 ref

Open Access

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

category (general)

Engineering

Computer science

Materials science

category (sub)

Engineering. General engineering

Computer science. General computer science

Materials science. General materials science

kvartiil

TTÜ department

elektroenergeetika ja mehhatroonika instituut

language

inglise

Uurimisrühm

Electrical machines research group

Saberi, A. N., Belahcen, A., Sobra, J., Vaimann, T. LightGBM-based fault diagnosis of rotating machinery under changing working conditions using modified recursive feature elimination // IEEE Access (2022) vol. 10, p. 81910-81925. https://doi.org/10.1109/ACCESS.2022.3195939