Residential College | false |
Status | 已發表Published |
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 Publication | IEEE Transactions on Industrial Informatics |
Pages | 1-11 |
DOI | 10.1109/TII.2024.3424211 |
Indexed By | SCIE |
Language | 英語English |
Publisher | IEEE |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTROMECHANICAL ENGINEERING |
Corresponding Author | Chen, Hao; Yang, Zhixin |
Affiliation | 1.Hainan Institute of Zhejiang University 2.University of Macau 3.Northeastern University 4.Guangdong University of Technology |
Corresponding Author Affilication | University 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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