Wind Turbine Fault Diagnosis for Class-Imbalance and Small-Size Data Based on Stacked Capsule Autoencoder

Author:

Wang Xianbo1ORCID,Chen Hao2ORCID,Zhao Jing3ORCID,Song Chonghui4ORCID,Zhang Yongkang5,Yang Zhi-Xin2ORCID,Wong Pak Kin3ORCID

Affiliation:

1. Hainan Institute of Zhejiang University, Sanya, China

2. State Key Laboratory of Internet of Things for Smart City, and Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China

3. Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China

4. College of Information Science and Engineering, Northeastern University, Shengyang, China

5. School of Advanced Manufacturing, Guangdong University of Technology, Guangzhou, China

Funder

Research Startup Funding

Hainan Institute of Zhejiang University

Sanya Science and Technology Innovation Project

Science and Technology Development Fund

Guangdong Department of Science and Technology

Zhuhai Science and Technology Innovation Bureau

International Science and Technology project of Guangzhou Development District

Zhuhai UM Research Institute

Universidade de Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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