An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors
statement of authorship
Muhammad Amir Khan, Bilal Asad, Muhammad Usman Naseer, Toomas Vaimann, Ants Kallaste
source
publisher
journal volume number month
vol. 14, 1
year of publication
pages
art. 68
ISSN
2075-1702
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
English
subject term
keyword
CoLaR-FS
fault detection and classification
Recurrent Neural Network
RNN-XBoostNet
classifier
TalTech department
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