Double-scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer-Reference-Cited by-同舟云学术

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Double-scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer

Published:2022 Issue: Volume: Page:1-10
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Xiaohui¹^ORCID,He Liqun¹^ORCID,Zhu Zhongkui¹^ORCID,Wang Cheng²^ORCID,Shi Juanjuan¹^ORCID,Du Guifu¹^ORCID,Chen Yu³^ORCID

Affiliation:

1. School of Rail Transportation, Soochow University, Suzhou, China

2. School of Automation, Nanjing University of Science and Technology, Nanjing, China

3. State Key Laboratory of Advanced Electromagnetic Engineering and Technology (AEET), Hubei, China

Funder

National Natural Science Foundation of China

Young Top-notch Talent Cultivation Program of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/09964247.pdf?arnumber=9964247

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Online Noninvasive Monitoring Technique for the ESR of an Output Capacitor in Switched-Mode Power Supplies;IEEE Transactions on Power Electronics;2024-11

2. The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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