Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network
Hunan University · China University of Petroleum, East China · +1 more institution
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
231
total citations
- FWCI
- 40.29
- Percentile
- 100%
- References
- 45
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Classifier (UML)
- Computer science
- Adversarial system
- Subnet
- Artificial intelligence
- Domain adaptation
- Domain (mathematical analysis)
- Machine learning
UN Sustainable Development Goals
- Peace, Justice and strong institutions
No related works found for this paper.