Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Beijing University of Civil Engineering and Architecture
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Abstract
No abstract available for this paper.
Citation impact
132
total citations
- FWCI
- 39.54
- Percentile
- 100%
- References
- 62
Citations per year
Authors
5- XLXinming Li
Beijing University of Civil Engineering and Architecture
- YWYanxue WangCorresponding
Beijing University of Civil Engineering and Architecture
- JYJiachi Yao
Beijing University of Civil Engineering and Architecture
- MLMeng Li
Beijing University of Civil Engineering and Architecture
- ZGZhikang Gao
Beijing University of Civil Engineering and Architecture
Topics & keywords
Keywords
- Computer science
- Data mining
- Reliability (semiconductor)
- Artificial intelligence
- Artificial neural network
- Sensor fusion
- Fault (geology)
- Feature learning
UN Sustainable Development Goals
- Affordable and clean energy
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