引用本文:李建军，李建军。基于迁移学习的风力发电机故障检测方法研究。能源与动力学报(英文版)2023;5 (1): 011

Q4 Energy

Journal of Nuclear Energy Science and Power Generation Technology Pub Date : 2023-06-28 DOI:10.21926/jept.2302021

J. Office

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张建军，张建军，张建军。基于迁移学习的风力发电机故障检测方法研究。能源与动力学报(英文版)2023;5(1): 011能源与动力技术编辑部elidsen出版公司，2000 Auburn Drive, One Chagrin Highlands, Suite 200, Beachwood, OH, USA;E-Mail: jept@lidsen.com能源与动力技术杂志2023，第5卷，第2期doi:10.21926/jept。收稿日期:2023年6月25日收稿日期:2023年6月25日发表日期:2023年6月25日

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Retraction: Simani S, Farsoni S, Castaldi P. Transfer Learning for Fault Detection with Application to Wind Turbine SCADA Data. Journal of Energy and Power Technology 2023; 5(1): 011

RetractionRetraction: Simani S, Farsoni S, Castaldi P. Transfer Learning for Fault Detection with Application to Wind Turbine SCADA Data. Journal of Energy and Power Technology 2023; 5(1): 011Journal of Energy and Power Technology Editorial OfficeLIDSEN Publishing Inc., 2000 Auburn Drive, One Chagrin Highlands, Suite 200, Beachwood, OH, USA; E-Mail: jept@lidsen.com Journal of Energy and Power Technology 2023, volume 5, issue 2doi:10.21926/jept.2302021Received: June 25, 2023Accepted: June 25, 2023Published: June 25, 2023

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Journal of Nuclear Energy Science and Power Generation Technology Energy-Energy Engineering and Power Technology

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