An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
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Abstract
No abstract available for this paper.
Citation impact
854
total citations
- FWCI
- 72.32
- Percentile
- 100%
- References
- 38
Citations per year
Authors
4- BYBin Yang
Xi'an Jiaotong University
- YLYaguo LeiCorresponding
Xi'an Jiaotong University
- FJFeng Jia
Xi'an Jiaotong University
- SXSaibo Xing
Xi'an Jiaotong University
Topics & keywords
Topics
Keywords
- Fault (geology)
- Artificial intelligence
- Artificial neural network
- Computer science
- Convolutional neural network
- Transfer of learning
- Engineering
- Control engineering
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