Graphite Epoxy Defect Classification of Ultrasonic Signatures Using Statistical and Neural Network Techniques

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dc.contributor.author Brown, L.
dc.contributor.author Newman, R.
dc.contributor.author DeNale, R.
dc.contributor.author Lebowitz, C.
dc.contributor.author Arcella, F.
dc.date 2018-02-14T06:48:44.000
dc.date.accessioned 2020-06-30T06:39:49Z
dc.date.available 2020-06-30T06:39:49Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 1992
dc.date.issued 1992
dc.description.abstract <p>The use of graphite epoxy composite materials in thick sections for structural applications in naval vessels is achieving worldwide interest [1]. Current and future applications of composites include construction of hulls, superstructures, weight critical articles, secondary structures and quasi-structural components.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1992/allcontent/87/
dc.identifier.articleid 2976
dc.identifier.contextkey 5800904
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1992/allcontent/87
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/60032
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/lib.dr.iastate.edu/qnde/1992/allcontent/87/1992_Brown_GraphiteEpoxy.pdf|||Sat Jan 15 02:15:18 UTC 2022
dc.source.uri 10.1007/978-1-4615-3344-3_87
dc.title Graphite Epoxy Defect Classification of Ultrasonic Signatures Using Statistical and Neural Network Techniques
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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