LEADER 01713nam  2200469I  450 
001 9910707968403321
005 20170126151327.0
035   $a(CKB)5470000002468883
035   $a(OCoLC)970348402
035   $a(EXLCZ)995470000002468883
100   $a20170126j201603    ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProbabilistic damage characterization using a computationally-efficient Bayesian approach /$fJames E. Warner and Jacob D. Hochhalter
210  1$aHampton, Virginia :$cNational Aeronautics and Space Administration, Langley Research Center,$dMarch 2016.
215   $a1 online resource (23 pages) $ccolor illustrations
225 1 $aNASA/TP ;$v2016-219169
300   $a"March 2016."
300   $a"Performing organization: NASA Langley Research Center"--Report documentation page.
320   $aIncludes bibliographical references (pages 22-23).
606   $aAerodynamic noise$2nasat
606   $aBayes theorem$2nasat
606   $aDamage assessment$2nasat
606   $aProbability theory$2nasat
606   $aStructural health monitoring$2nasat
615  7$aAerodynamic noise.
615  7$aBayes theorem.
615  7$aDamage assessment.
615  7$aProbability theory.
615  7$aStructural health monitoring.
700   $aWarner$b James E.$01394421
702   $aHochhalter$b Jacob D.
712 02$aLangley Research Center,
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910707968403321
996   $aProbabilistic damage characterization using a computationally-efficient Bayesian approach$93451761
997   $aUNINA