Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Hybrid Model Temperature Field Prediction Method Based on Dynamic Mode Decomposition and Deep Learning for IGBT Modules (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Hybrid Model Temperature Field Prediction Method Based on Dynamic Mode Decomposition and Deep Learning for IGBT Modules
Shared by
Frede Blaabjerg
Aalborg University
Hybrid Model Temperature Field Prediction Method Based on Dynamic Mode Decomposition and Deep Learning for IGBT Modules
Article
2025
en
Related publications
Article
2017
Lifetime prediction of IGBT modules based on linear damage accumulation
Article
2016
A Temperature-Dependent Thermal Model of IGBT Modules Suitable for Circuit-Level Simulations
Article
2014
A temperature-dependent thermal model of IGBT modules suitable for circuit-level simulations
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Article
2021
Enhanced vibration decomposition method based on multisynchrosqueezing transform and analytical mode decomposition
Yu Xin
,
Jun Li
,
Hong Hao
Article
2017
Impact of lifetime model selections on the reliability prediction of IGBT modules in modular multilevel converters
Discussion(0)
No comments yet. Be the first to comment.