Thermal Estimation of Modular Multilevel Converter Submodule Using Deep Regression on GRU and LSTM Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3191643
Abstract: This paper proposed a GRU/LSTM-based deep regression model for thermal estimation of modular multilevel converter submodule. The MMC is composed of many submodules with the power semiconductors such as IGBTs and MOSFETs. The switches are… read more here.
Keywords: regression; deep regression; submodule; gru lstm ... See more keywords
A Fast Leakage-Aware Full-Chip Transient Thermal Estimation Method
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2017.2778066
Abstract: Accurate and fast thermal estimation is important for the runtime thermal regulation of modern microprocessors due to excessive on-chip temperatures. However, due to the nonlinear relationship between the leakage power and temperature, full-chip thermal estimation… read more here.
Keywords: estimation; thermal estimation; leakage; full chip ... See more keywords
Nozzle Thermal Estimation for Fused Filament Fabricating 3D Printer Using Temporal Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11146424
Abstract: A preventive maintenance embedded for the fused deposition modeling (FDM) printing technique is proposed. A monitoring and control integrated system is developed to reduce the risk of having thermal degradation on the fabricated products and… read more here.
Keywords: estimation fused; nozzle thermal; thermal estimation; filament fabricating ... See more keywords