Non-intrusive electro-thermo-mechanical reduced model for diagnosis and prognostic on IGBT power modules-Reference-Cited by-同舟云学术

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Non-intrusive electro-thermo-mechanical reduced model for diagnosis and prognostic on IGBT power modules

Published:2023-04-17 Issue: Volume: Page:
ISSN:
Container-title:2023 24th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)
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Author:

Schuler Louis¹,Chamoin Ludovic¹,Khatir Zoubir²,Bouarroudj Mounira³,Ouhab Merouane⁴

Affiliation:

1. Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, CNRS,LMPS -Laboratoire de Mécanique Paris-Saclay,France

2. Université Gustave Eiffel,SATIE,France

3. Université Paris EST Créteil, SATIE, CNRS, ENS Paris-Saclay,France

4. Mitsubishi Electric R&D Centre Europe (MERCE),France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10100701/10100725/10100766.pdf?arnumber=10100766

Reference14 articles.

1. Inference via low-dimensional couplings;spantini;The Journal of Machine Learning Research,2018

2. Real-time Bayesian data assimilation with data selection, correction of model bias, and on-the-fly uncertainty propagation

3. Lifetime Prediction of SnPb and SnAgCu Solder Joints of Chips on Copper Substrate Based on Crack Propagation FE-Analysis

4. Transport Map sampling with PGD model reduction for fast dynamical Bayesian data assimilation

5. Fast model updating coupling Bayesian inference and PGD model reduction

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