A novel lightweight DDPM-based data augmentation method for rotating machinery fault diagnosis with small sample
Northeastern University · China University of Mining and Technology
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Abstract
No abstract available for this paper.
Citation impact
45
total citations
- FWCI
- 44.38
- Percentile
- 100%
- References
- 58
Citations per year
Authors
5- CFCaizi Fan
Northeastern University
- YZYongchao Zhang
Northeastern University
- HMHui MaCorresponding
Northeastern University
- KYKun Yu
China University of Mining and Technology
- ZMZeyu Ma
Northeastern University
Topics & keywords
Topics
Keywords
- Sample (material)
- Fault (geology)
- Computer science
- Materials science
- Physics
- Geology
- Seismology
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