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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
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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