A systematic resilience assessment framework for multi-state systems based on physics-informed neural network
China University of Petroleum, Beijing · Université Paris Sciences et Lettres · +3 more institutions
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Abstract
No abstract available for this paper.
Citation impact
78
total citations
- FWCI
- 63.03
- Percentile
- 100%
- References
- 56
Citations per year
Authors
10- YHYuxuan He
China University of Petroleum, Beijing
- EZEnrico Zio
Université Paris Sciences et Lettres, Politecnico di Milano
- ZYZhaoming Yang
China University of Petroleum, Beijing
- QXQi Xiang
China University of Petroleum, Beijing
- FLFan Lin
Petro-Canada
Topics & keywords
Topics
Keywords
- Resilience (materials science)
- Artificial neural network
- State (computer science)
- Computer science
- Systems engineering
- Management science
- Artificial intelligence
- Engineering
UN Sustainable Development Goals
- Climate action
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