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Conference Paper: High Performance Computing (HPC) of Wind Turbine System: Data Driven Early Warning of Fatigue Damage in Wind Turbine Blades

TitleHigh Performance Computing (HPC) of Wind Turbine System: Data Driven Early Warning of Fatigue Damage in Wind Turbine Blades
Authors
Deng, X
Issue Date2017
Citation
Workshop, State key lab of digital manufacturing equipment and technology, Huazhong University of Science and Technology, Wuhan, China, 10 April 2017 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/298920

 

DC FieldValueLanguage
dc.contributor.authorDeng, X-
dc.date.accessioned2021-04-19T02:31:15Z-
dc.date.available2021-04-19T02:31:15Z-
dc.date.issued2017-
dc.identifier.citationWorkshop, State key lab of digital manufacturing equipment and technology, Huazhong University of Science and Technology, Wuhan, China, 10 April 2017-
dc.identifier.urihttp://hdl.handle.net/10722/298920-
dc.languageeng-
dc.relation.ispartofWorkshop, State key lab of digital manufacturing equipment and technology, Huazhong University of Science and Technology-
dc.titleHigh Performance Computing (HPC) of Wind Turbine System: Data Driven Early Warning of Fatigue Damage in Wind Turbine Blades-
dc.typeConference_Paper-
dc.identifier.emailDeng, X: xwdeng@hku.hk-
dc.identifier.authorityDeng, X=rp02223-
dc.identifier.hkuros275090-

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