A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Chongqing University of Posts and Telecommunications · Buffalo State University · +2 more institutions
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Abstract
No abstract available for this paper.
Citation impact
612
total citations
- FWCI
- 65.98
- Percentile
- 100%
- References
- 245
Citations per year
Authors
7- ZZZhiqin Zhu
Chongqing University of Posts and Telecommunications
- YLYangbo Lei
Chongqing University of Posts and Telecommunications
- GQGuanqiu QiCorresponding
Buffalo State University, University at Buffalo, State University of New York
- YCYi ChaiCorresponding
Chongqing University
- NMNeal Mazur
Buffalo State University, University at Buffalo, State University of New York
Topics & keywords
Topics
Keywords
- Fault (geology)
- Deep learning
- Artificial intelligence
- Computer science
- Convolutional neural network
- Adversarial system
- Generalization
- Artificial neural network
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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