2 papers
cs.LG2026
Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction
Kıvanç DoÄan, Ahmet Orhan
Wound rotor synchronous motors have emerged as a strong alternative that eliminates dependence on REEs. However, WRSM design requires the simultaneous optimization of numerous geom…
cs.LG2025
Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
Mert Sehri, Merve Ertagrin, Ozal Yildirim +2
Convolutional Neural Networks (CNNs) are used to evaluate accelerometer and microphone data for bearing and induction motor diagnosis. A Long Short-Term Memory (LSTM) recurrent neu…