An intelligent failure feature learning method for failure and maintenance data management of wind turbines
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Abstract
No abstract available for this paper.
Citation impact
42
total citations
- FWCI
- 40.99
- Percentile
- 100%
- References
- 49
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Feature (linguistics)
- Wind power
- Reliability engineering
- Computer science
- Engineering
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.
Funding
- URUK Research and Innovation
- NNNational Natural Science Foundation of ChinaAwards: 72301299, UIDB/UIDP/00134/2020
- HEHORIZON EUROPE Framework Programme
- EAEngineering and Physical Sciences Research CouncilAwards: EP/Z001501/1, EPSRC EP/Z001501/1
- FPFundação para a Ciência e a TecnologiaAward: UIDB/UIDP/00134/2020
- HEHORIZON EUROPE Marie Sklodowska-Curie ActionsAward: DROMS-FOWT\u2013101146961
- CDCentro de Engenharia e Tecnologia Naval e Oceânica, Instituto Superior Técnico