Inductive Graph Neural Network for Virtual Vibration Sensor Reconstruction in PMSM Powertrain-Reference-Cited by-同舟云学术

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Inductive Graph Neural Network for Virtual Vibration Sensor Reconstruction in PMSM Powertrain

Published:2024-10 Issue:10 Volume:71 Page:13288-13298
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Lang Wangjie¹^ORCID,Hu Yihua²^ORCID,Li Quanfeng³^ORCID,Wen Huiqing⁴^ORCID,Salamah Yasser Bin⁵^ORCID

Affiliation:

1. Zhejiang Lab, Hangzhou, China

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

3. Shanghai Dianji University, Shanghai, China

4. Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China

5. Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia

Funder

Shanghai Pujiang Program

Researchers Supporting Project

King Saud University

Engineering and Physical Sciences Research Council

Royal Society Industry Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/41/10589496/10420517.pdf?arnumber=10420517

Reference29 articles.

1. Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning

2. Effects of Rotor Position Error on Longitudinal Vibration of Electric Wheel System in In-Wheel PMSM Driven Vehicle

3. Axial Force and Vibroacoustic Analysis of External-Rotor Axial-Flux Motors

4. Optimization of Stator Slot Parameters for Electromagnetic Vibration Reduction of Permanent Magnet Synchronous Motors

5. Lateral and Torsional Vibration Monitoring of Multistack Rotor Induction Motors

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