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100   $a20201020d2020      ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSCADA data modeling for wind turbine gearbox failure detection using machine learning and big data technologies /$fRafael Orozco, Shawn Sheng, Caleb Phillips, and Lindy Williams
210  1$aGolden, CO :$cNational Renewable Energy Laboratory,$d2020.
215   $a1 online resource (18 pages) $ccolor illustrations
225 1 $aNREL/PR ;$v5000-76056
300   $aPresented at the ARIES Workshop, 22-24 January 2020, Oak Ridge, Tennessee.
300   $a"January 23, 2020."
320   $aIncludes bibliographical references.
606   $aWind turbines$xMonitoring
606   $aSupervisory control systems
615  0$aWind turbines$xMonitoring.
615  0$aSupervisory control systems.
700   $aOrozco$b Rafael$c(Computer scientist),$01406962
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
801  2$bGPO
906   $aBOOK
912   $a9910713930403321
996   $aSCADA data modeling for wind turbine gearbox failure detection using machine learning and big data technologies$93487157
997   $aUNINA