01859oam 2200469I 450 991071143830332120181010142717.0(CKB)5470000002483660(OCoLC)1056244878(EXLCZ)99547000000248366020181010d2018 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierDiagnostic models for wind turbine gearbox components using SCADA time series data /Rafael Orozco, Shuangwen Sheng, and Caleb Phillips[Golden, Colo.] :National Renewable Energy Laboratory,2018.1 online resource (9 pages) color illustrationsConference paper ;NREL/CP-5000-71166"Preprint.""Presented at the 2018 IEEE International Conference on Prognostics and Health Management, Seattle, Washington, June 11-13, 2018.""July 2018."Includes bibliographical references (pages 8-9).Diagnostic models for wind turbine gearbox components using supervisory control and data acquisition time series dataWind turbinesEquipment and suppliesWind turbinesDesign and constructionGearingWind turbinesEquipment and supplies.Wind turbinesDesign and construction.Gearing.Orozco Rafael(Computer scientist),1406962Sheng S(Shuangwen),Phillips CalebNational Renewable Energy Laboratory (U.S.),GPOGPOGPOBOOK9910711438303321Diagnostic models for wind turbine gearbox components using SCADA time series data3528033UNINA