A zero-shot model for diagnosing unknown composite faults in train bearings based on label feature vector generated fault features
Guangxi University · Guilin University of Electronic Technology · +1 more institution
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
62
total citations
- FWCI
- 62.76
- Percentile
- 100%
- References
- 40
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Fault (geology)
- Composite number
- Feature (linguistics)
- Zero (linguistics)
- Shot (pellet)
- Pattern recognition (psychology)
- Feature vector
- Computer science
UN Sustainable Development Goals
- Climate action
No related works found for this paper.