A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades-Reference-Cited by-同舟云学术

A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades

Published:2022-12 Issue:12 Volume:18 Page:8487-8497
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Cheng Xu¹^ORCID,Shi Fan²^ORCID,Liu Yongping¹^ORCID,Zhou Jiehan³^ORCID,Liu Xiufeng⁴^ORCID,Huang Lizhen¹^ORCID

Affiliation:

1. Department of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, Gjøvik, Norway

2. Key Laboratory of Computer Vision and System of Ministry of Education, School of Computer Science and Technology, Tianjin University of Technology, Tianjin, China

3. Network Information Systems, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland

4. Department of Technology, Management, and Economics, Technical University of Denmark, Lyngby, Denmark

Funder

Flexible Energy Denmark

National Natural Science Foundation of China

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/ielx7/9424/9906876/09757845.pdf?arnumber=9757845

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