01871nam 2200481I 450 991070376600332120150604154920.0(CKB)5470000002434060(OCoLC)910680815(EXLCZ)99547000000243406020150604j201501 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierA model-based anomaly detection approach for analyzing streaming aircraft engine measurement data /Donald L. Simon, Aidan W. RinehartCleveland, Ohio :National Aeronautics and Space Administration, Glenn Research Center,January 2015.1 online resource (13 pages) color illustrationsNASA/TM ;2015-218454Title from title screen (viewed on June 4, 2015)."January 2015.""Prepared for Turbo Expo 2014 sponsored by the American Society of Mechanical Engineers (ASME), Dusseldorf, Germany, June 16-20, 2014."Includes bibliographical references (page 13).In-flight monitoringnasatAircraft communicationnasatFault detectionnasatOnboard data processingnasatEngine monitoring instrumentsnasatIn-flight monitoring.Aircraft communication.Fault detection.Onboard data processing.Engine monitoring instruments.Simon Donald L.1389758Rinehart Aidan W.NASA Glenn Research Center,GPOGPOBOOK9910703766003321A model-based anomaly detection approach for analyzing streaming aircraft engine measurement data3441735UNINA