Skip to content
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Conference paper

Physics-informed Neural Network Approach for Early Degradation Trajectory Prediction of Power Semiconductor Modules

Jie Kong; Yi Zhang; Yichi Zhang; Lukas Wick; Frederik Lillebæk Hansen; Dao Zhou; Huai Wang

Published
Publisher
IEEE
Journal / collection
2025 IEEE Applied Power Electronics Conference and Exposition (APEC)
Research area
AI & compute
Source type
Conference paper
DOI
10.1109/apec48143.2025.10977327

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Jie Kong; Yi Zhang; Yichi Zhang; Lukas Wick; Frederik Lillebæk Hansen; Dao Zhou; Huai Wang. Physics-informed Neural Network Approach for Early Degradation Trajectory Prediction of Power Semiconductor Modules. 2025 IEEE Applied Power Electronics Conference and Exposition (APEC). 2025-03-16. https://doi.org/10.1109/apec48143.2025.10977327

Download RIS