Khan, M. A., Asad, B., Naseer, M. U., Vaimann, T., Kallaste, A.

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An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors

author

Khan, Muhammad Amir

Asad, Bilal

Naseer, Muhammad Usman

Vaimann, Toomas

Kallaste, Ants

statement of authorship

Muhammad Amir Khan, Bilal Asad, Muhammad Usman Naseer, Toomas Vaimann, Ants Kallaste

source

Machines

publisher

MDPI

journal volume number month

vol. 14, 1

year of publication

2026

pages

art. 68

url

https://doi.org/10.3390/machines14010068

subject term

laagrid (tehnika)

sügavõpe

detektsioon

kombineeritud õpe

asünkroonmasinad

tehisõpe

tehisnärvivõrgud

keyword

bearing fault diagnosis

CoLaR-FS

deep learning

fault detection and classification

feature selection

hybrid learning

induction machine

industrial monitoring

machine learning

Recurrent Neural Network

RNN-XBoostNet

XGBoost

ISSN

2075-1702

Open Access

scientific publication

teaduspublikatsioon

classifier

1.1

TalTech department

Elektroenergeetika ja mehhatroonika instituut

language

Inglise

Khan, M. A., Asad, B., Naseer, M. U., Vaimann, T., Kallaste, A. An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors // Machines (2026) vol. 14, 1, art. 68. https://doi.org/10.3390/machines14010068