01583nam 2200481I 450 991070578940332120170612112609.0(CKB)5470000002452509(OCoLC)989874751(EXLCZ)99547000000245250920170612j201701 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierApplication of machine learning to rotorcraft health monitoring /Tyler Cody, Paula J. DempseyCleveland Ohio :National Aeronautics and Space Administration, Glenn Research Center,January 2017.1 online resource (14 pages) color illustrationsNASA/TM ;2017-219408"January 2017."Includes bibliographical references (page 14).Bayes theoremnasatFatigue (materials)nasatMachine learningnasatNeural netsnasatRotary wing aircraftnasatTime dependencenasatBayes theorem.Fatigue (materials)Machine learning.Neural nets.Rotary wing aircraft.Time dependence.Cody Tyler1403193Dempsey Paula J.NASA Glenn Research Center,GPOGPOBOOK9910705789403321Application of machine learning to rotorcraft health monitoring3475334UNINA