IGBT Module DPT Efficiency Enhancement via Multimodal Fusion Networks and Graph Convolution Networks-Reference-Cited by-同舟云学术

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IGBT Module DPT Efficiency Enhancement via Multimodal Fusion Networks and Graph Convolution Networks

Published:2024-11 Issue:11 Volume:71 Page:13766-13777
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Zhang Xiaotian¹^ORCID,Hu Yihua²^ORCID,Zhang Jingwei³^ORCID,Esfahani Mohammad Nasr¹^ORCID,Tilford Tim⁴^ORCID,Stoyanov Stoyan⁴^ORCID

Affiliation:

1. School of Physics, Engineering and Technology, University of York, York, U.K.

2. King's College London, London, U.K.

3. School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China

4. University of Greenwich, London, U.K.

Funder

EPSRC

Royal Society Industry Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/41/10639500/10462580.pdf?arnumber=10462580

Reference26 articles.

1. A Gate Driving Strategy for the Series-Connected IGBTs to Improve the Resilience Against IGBTs Short-circuit Failures

2. Bang-Bang Funnel Control of Three-Phase Full-Bridge Inverter Under Dual-Buck Scheme

3. Active Virtual Ground— Single-Phase Transformerless Grid-Connected Voltage Source Inverter Topology

4. Triple-Mode Isolated Resonant Buck–Boost Converter Over Wide Input Voltage Range for Residential Applications

5. An Electrical Transient Model of IGBT-Diode Switching Cell for Power Semiconductor Loss Estimation in Electromagnetic Transient Simulation

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