Semi-supervised cross-domain fault diagnosis via contrastive pre-training and annotation-efficient alignment strategy
University of Science and Technology Beijing · Hong Kong Polytechnic University · +2 more institutions
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Abstract
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28
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- 369.84
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- 100%
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Authors
5- LYLechang Yang
University of Science and Technology Beijing
- XZXianghao Zhang
Hong Kong Polytechnic University, University of Science and Technology Beijing
- FZFeng ZhuCorresponding
City University of Hong Kong
- ZWZhe Wang
City University of Hong Kong, Hong Kong Science and Technology Parks Corporation
- XZXiaoge Zhang
Hong Kong Polytechnic University, University of Science and Technology Beijing
Topics & keywords
Topics
Keywords
- Benchmark (surveying)
- Prognostics
- Fault (geology)
- Baseline (sea)
- Task (project management)
- Sample (material)
- Representation (politics)
- Matching (statistics)
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