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Efficient anomaly detection method for offshore wind turbines

Yi-Feng Li Zhi-Ang Hu Jia-Wei Gao Yi-Sheng Zhang Peng-Fei Li Hai-Zhou Du

电子科技学刊2024，Vol.22Issue(4)：81-95,15.

电子科技学刊2024，Vol.22Issue(4)：81-95,15.DOI:10.1016/j.jnlest.2024.100285

Efficient anomaly detection method for offshore wind turbines

Yi-Feng Li ¹Zhi-Ang Hu ¹Jia-Wei Gao ¹Yi-Sheng Zhang ¹Peng-Fei Li ²Hai-Zhou Du²

作者信息

1. Shanghai Electric Power Energy Technology Co.,Ltd.,Shanghai,200233,China
2. School of Computer Science and Technology,Shanghai University of Electric Power,Shanghai,201306,China
折叠

摘要

关键词

Anomaly detection/Offshore wind turbines/Residual clustering/Time-series/Unsupervised learning

Key words

Anomaly detection/Offshore wind turbines/Residual clustering/Time-series/Unsupervised learning

引用本文复制引用

Yi-Feng Li,Zhi-Ang Hu,Jia-Wei Gao,Yi-Sheng Zhang,Peng-Fei Li,Hai-Zhou Du..Efficient anomaly detection method for offshore wind turbines[J].电子科技学刊,2024,22(4):81-95,15.

基金项目

This work was supported by Shanghai Electric Power Energy Technology Co.,Ltd.2023 Science and Technology Project under Grant No.33019006220801. （）

电子科技学刊

ISSN：1674-862X

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