A Data-Driven Approach for Power IGBT Operation State Prediction Based on Domain Adapted BiLSTM Networks-Reference-Cited by-同舟云学术

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A Data-Driven Approach for Power IGBT Operation State Prediction Based on Domain Adapted BiLSTM Networks

Published:2023-11-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
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Author:

Deng Shuhan¹,Li Weihua²,Yue Ke³,Li Jipu³,Huang Ruyi¹,Chen Zhuyun²

Affiliation:

1. Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China

2. School of Mechanical and Automotive Engineering, South China University of Technology,Pazhou Lab,Guangzhou,China

3. South China University of Technology,Pazhou Lab,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490445/10490449/10490986.pdf?arnumber=10490986

Reference29 articles.

1. Electric Vehicles Lithium-Polymer Ion Battery Dynamic Behaviour Charging Identification and Modelling Scheme

2. A Diagnosis Strategy for High-Frequency Link Bidirectional AC-DC Matrix Converter

3. Fast charging converter and control algorithm for solar PV battery and electrical grid integrated electric vehicle charging station

4. Switch Open-Fault Detection for a Three-Phase Hybrid Active Neutral-Point-Clamped Rectifier

5. Research on unified fault diagnosis method for single-phase cascaded NPC rectifier IGBT and sensor[D];Jin;Southwest Jiaotong University,2022

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