Open Access
ARTICLE
Optimizing Bearing Fault Detection: CNN-LSTM with Attentive TabNet for Electric Motor Systems
1 Nautical Science Department, Faculty of Maritime, King Abdulaziz University, Jeddah, 22230, Saudi Arabia
2 Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, 57000, Pakistan
3 Marine Engineering Department, Faculty of Maritime, King Abdulaziz University, Jeddah, 22230, Saudi Arabia
4 Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia
5 Electrical Engineering Department, College of Engineering, Najran University, Najran, 61441, Saudi Arabia
* Corresponding Author: Ahmad Shaf. Email: