1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction
Kıvanç Doğan, 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★ 1 cited
Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
Mert Sehri, Merve Ertargin, 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…