LEADER 01871nam  2200481I  450 
001 9910703766003321
005 20150604154920.0
035   $a(CKB)5470000002434060
035   $a(OCoLC)910680815
035   $a(EXLCZ)995470000002434060
100   $a20150604j201501    ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA model-based anomaly detection approach for analyzing streaming aircraft engine measurement data /$fDonald L. Simon, Aidan W. Rinehart
210  1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Glenn Research Center,$dJanuary 2015.
215   $a1 online resource (13 pages) $ccolor illustrations
225 1 $aNASA/TM ;$v2015-218454
300   $aTitle from title screen (viewed on June 4, 2015).
300   $a"January 2015."
300   $a"Prepared for Turbo Expo 2014 sponsored by the American Society of Mechanical Engineers (ASME), Dusseldorf, Germany, June 16-20, 2014."
320   $aIncludes bibliographical references (page 13).
606   $aIn-flight monitoring$2nasat
606   $aAircraft communication$2nasat
606   $aFault detection$2nasat
606   $aOnboard data processing$2nasat
606   $aEngine monitoring instruments$2nasat
615  7$aIn-flight monitoring.
615  7$aAircraft communication.
615  7$aFault detection.
615  7$aOnboard data processing.
615  7$aEngine monitoring instruments.
700   $aSimon$b Donald L.$01389758
702   $aRinehart$b Aidan W.
712 02$aNASA Glenn Research Center,
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910703766003321
996   $aA model-based anomaly detection approach for analyzing streaming aircraft engine measurement data$93441735
997   $aUNINA