Conference Agenda

Session

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 Repetto¹

¹Politecnico di Torino, Dip. Energia "G. Ferraris", Torino ItalyItaly; ²Universita' Padova, Dip. Ingegneria Industriale, Padova, Italy

2:50pm - 3:10pm

Synthesis of Boundary Conditions in Polygonal Domains using Deep Neural Networks

Sami Barmada¹, Paolo Di Barba², Maria Evelina Mognaschi²

¹University of Pisa, Italy; ²Univeristy of Pavia, Italy

3:10pm - 3:30pm

Non-Destructive testing of a Permanent Magnet Machine through Vibrations Analysis

Nassira Ferkha¹, Hocine Ferkha¹, Dounia Sedira¹, Abdesslem Djerdir²

¹University of Jijel, Algeria; ²University of Technology of Belfort-Montbéliard UTBM France