LEADER 01947nam 2200493Ia 450 001 9910700381003321 005 20111011165327.0 035 $a(CKB)5470000002409174 035 $a(OCoLC)756701406 035 $a(EXLCZ)995470000002409174 100 $a20111011d2009 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA systematic approach to sensor selection for aircraft engine health estimation$b[electronic resource] /$fDonald L. Simon and Sanjay Garg ; prepared for the 19th ISABE Conference (ISABE 2009) sponsored by the International Society for Air Breathing Engines, Montreal, Canada, September 7-11, 2009 210 1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Glenn Research Center,$d[2009] 215 $a1 online resource (11 pages) $ccolor illustrations 225 1 $aNASA/TM ;$v2009-215839 300 $aTitle from title screen (viewed on Oct. 11, 2011). 300 $a"December 2009." 300 $a"ISABE-2009-1125." 320 $aIncludes bibliographical references (page 11). 606 $aGas turbine engines$2nasat 606 $aKalman filters$2nasat 606 $aState estimation$2nasat 606 $aAircraft engines$2nasat 606 $aMean square values$2nasat 615 7$aGas turbine engines. 615 7$aKalman filters. 615 7$aState estimation. 615 7$aAircraft engines. 615 7$aMean square values. 700 $aSimon$b Donald L$01389758 701 $aGarg$b Sanjay$01386527 712 02$aNASA Glenn Research Center. 712 12$aInternational Symposium on Air Breathing Engines$d(19th :$f2009 :$eMontre?al, Que?bec) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910700381003321 996 $aA systematic approach to sensor selection for aircraft engine health estimation$93516170 997 $aUNINA LEADER 02071nam 2200505z- 450 001 9910476900803321 005 20210528 010 $a1000128686 035 $a(CKB)5470000000567015 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/70083 035 $a(oapen)doab70083 035 $a(EXLCZ)995470000000567015 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOCM 2021 - Optical Characterization of Materials$eConference Proceedings 210 $aKarlsruhe$cKIT Scientific Publishing$d2021 215 $a1 online resource (216 p.) 311 08$a9783731510819 311 08$a3731510812 330 $aThe state of the art in the optical characterization of materials is advancing rapidly. New insights have been gained into the theoretical foundations of this research and exciting developments have been made in practice, driven by new applications and innovative sensor technologies that are constantly evolving. The great success of past conferences proves the necessity of a platform for presentation, discussion and evaluation of the latest research results in this interdisciplinary field. 517 $aOCM 2021 - Optical Characterization of Materials 606 $aElectrical engineering$2bicssc 610 $acharacterisation of materials 610 $aCharakterisierung von Materialien 610 $ahyperspectral 610 $aHyperspektral 610 $amultispectral image analysis 610 $amultispektrale Bildanalyse 610 $arecycling 610 $aRecycling 610 $aRo?ntgenmethoden 610 $aX-ray methods 615 7$aElectrical engineering 700 $aBeyerer$b Jürgen$4edt$01029954 702 $aLängle$b Thomas$4edt 702 $aBeyerer$b Jürgen$4oth 702 $aLängle$b Thomas$4oth 906 $aBOOK 912 $a9910476900803321 996 $aOCM 2021 - Optical Characterization of Materials$93033276 997 $aUNINA