L’IA pour la fiabilité des modules de puissance
Date:
Presented to the SATIE team’s branch at Université Gustave Eiffel, this talk was specifically tailored for an audience of power electronics experts. The presentation introduced a machine learning-based perspective on the ongoing challenges of power module reliability. It showcased how data-driven tools, specifically stochastic methods and Dynamic Time Warping algorithms, can be effectively applied to model degradation and improve reliability assessments in this domain.