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035   $a(OCoLC)1056244878
035   $a(EXLCZ)995470000002483660
100   $a20181010d2018      ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDiagnostic models for wind turbine gearbox components using SCADA time series data /$fRafael Orozco, Shuangwen Sheng, and Caleb Phillips
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2018.
215   $a1 online resource (9 pages) $ccolor illustrations
225 1 $aConference paper ;$vNREL/CP-5000-71166
300   $a"Preprint."
300   $a"Presented at the 2018 IEEE International Conference on Prognostics and Health Management, Seattle, Washington, June 11-13, 2018."
300   $a"July 2018."
320   $aIncludes bibliographical references (pages 8-9).
517 3 $aDiagnostic models for wind turbine gearbox components using supervisory control and data acquisition time series data
606   $aWind turbines$xEquipment and supplies
606   $aWind turbines$xDesign and construction
606   $aGearing
615  0$aWind turbines$xEquipment and supplies.
615  0$aWind turbines$xDesign and construction.
615  0$aGearing.
700   $aOrozco$b Rafael$c(Computer scientist),$01406962
702   $aSheng$b S$g(Shuangwen),
702   $aPhillips$b Caleb
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
801  2$bGPO
906   $aBOOK
912   $a9910711438303321
996   $aDiagnostic models for wind turbine gearbox components using SCADA time series data$93528033
997   $aUNINA