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Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder
Wang, Xianbo1; Chen, Hao2; Zhao, Jing2; Song, Chonghui3; Zhang, Yongkang4; Yang, Zhixin2; Wong, Pak Kin2
2024-07
Source PublicationIEEE Transactions on Industrial Informatics
Pages1-11
DOI10.1109/TII.2024.3424211
Indexed BySCIE
Language英語English
PublisherIEEE
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Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorChen, Hao; Yang, Zhixin
Affiliation1.Hainan Institute of Zhejiang University
2.University of Macau
3.Northeastern University
4.Guangdong University of Technology
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wang, Xianbo,Chen, Hao,Zhao, Jing,et al. Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder[J]. IEEE Transactions on Industrial Informatics, 2024, 1-11.
APA Wang, Xianbo., Chen, Hao., Zhao, Jing., Song, Chonghui., Zhang, Yongkang., Yang, Zhixin., & Wong, Pak Kin (2024). Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder. IEEE Transactions on Industrial Informatics, 1-11.
MLA Wang, Xianbo,et al."Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder".IEEE Transactions on Industrial Informatics (2024):1-11.
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