Conference Time: 30th Apr 2025, 05:25:27pm CEST
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Oral Session 2-1: Electrical Machines, Machine Learning
Time:
Monday, 16/Sept/2024:
1:50pm - 3:30pm
Session Chair: Herbert De Gersem Session Chair: Paolo Di Barba
Presentations
1:50pm - 2:10pm Predicting Torque Characteristics of Synchronous Reluctance Motos Using Swin Transformer
Taisuke Nagayama , Hidenori Sasaki
Hosei University, Japan
2:10pm - 2:30pm Motor-LIME: Interpretation Method for Motor Design Based on Deep Learning
Kazuhisa Iwata , Hidenori Sasaki
Hosei University, Japan
2:30pm - 2:50pm Galileo Ferraris' Contest comparing data-driven methodologies for the multi-physics simulation of traction electrical machines
Simone Ferrari1 , Luigi Solimene1 , Riccardo Torchio2 , Costanza Anerdi1 , Fabio Freschi1 , Luca Giaccone1 , Gianmarco Lorenti1 , Francesco Lucchini2 , Piergiorgio Alotto2 , Gianmario Pellegrino1 , Maurizio Repetto 1
1 Politecnico di Torino, Dip. Energia "G. Ferraris", Torino ItalyItaly; 2 Universita' Padova, Dip. Ingegneria Industriale, Padova, Italy
2:50pm - 3:10pm Synthesis of Boundary Conditions in Polygonal Domains using Deep Neural Networks
Sami Barmada 1 , Paolo Di Barba2 , Maria Evelina Mognaschi2
1 University of Pisa, Italy; 2 Univeristy of Pavia, Italy
3:10pm - 3:30pm Non-Destructive testing of a Permanent Magnet Machine through Vibrations Analysis
Nassira Ferkha 1 , Hocine Ferkha1 , Dounia Sedira 1 , Abdesslem Djerdir2
1 University of Jijel, Algeria; 2 University of Technology of Belfort-Montbéliard UTBM France
