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An Efficient Numerical Scheme for Sizing of Cavity Defect in Metallic Foam From Signals of DC Potential Drop Method

contributor authorXiaojuan Wang
contributor authorShejuan Xie
contributor authorZhenmao Chen
date accessioned2020-03-12T23:49:09Z
date available2020-03-12T23:49:09Z
date issued2014
identifier issn0018-9464
identifier other6749190.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1124446?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Efficient Numerical Scheme for Sizing of Cavity Defect in Metallic Foam From Signals of DC Potential Drop Method
typeJournal Paper
contenttypeMetadata Only
identifier padid8303986
subject keywordsbubbles
subject keywordsconjugate gradient methods
subject keywordsinverse problems
subject keywordsmetal foams
subject keywordsneural nets
subject keywordsnondestructive testing
subject keywordsDC potential drop method signals
subject keywordsbubble defects
subject keywordscavity defect sizing
subject keywordsconjugate gradient optimization method
subject keywordsdatabase-type fast forward scheme
subject keywordshybrid inverse strategy
subject keywordsmetallic foam structures
subject keywordsmultimedium element
subject keywordsneural network
subject keywordsnumerical scheme
subject keywordsposition parameters
subject keywordsquantitative nondestructive testing
subject keywordssignal simulation
subject keywordsArtificial neural networks
subject keywordsCavity resonators
subject keywordsDatabases
subject keywordsInverse
identifier doi10.1109/TMAG.2013.2283491
journal titleMagnetics, IEEE Transactions on
journal volume50
journal issue2
filesize530741
citations0


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