Probability of Detection Modeling for Ultrasonic Testing

dc.contributor.author Sarkar, Pradipta
dc.contributor.author Meeker, William
dc.contributor.author Meeker, William
dc.contributor.author Thompson, R. Bruce
dc.contributor.author Gray, Timothy
dc.contributor.author Junker, Warren
dc.date 2018-02-14T08:37:24.000
dc.date.accessioned 2020-06-30T06:49:39Z
dc.date.available 2020-06-30T06:49:39Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 1998
dc.date.issued 1998
dc.description.abstract <p>Ultrasonic (UT) inspection can be used to detect a wide variety of subsurface discontinuities, such as inclusions, cracks and voids, as well as associated reactive or diffusion zones. In comparison with Eddy-Current inspection, much less work has been done on the determination of the Probability of Detection POD of UT inspections. This is because, unlike Eddy-Current inspection, it is very difficult to produce synthetic sub-surface flaws that adequately represent the acoustic properties of the naturally-occurring flaws (see Burkel et al., 1996). Here traditional methods for POD determination are difficult to apply.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1998/allcontent/265/
dc.identifier.articleid 3857
dc.identifier.contextkey 5810943
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1998/allcontent/265
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/61434
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/lib.dr.iastate.edu/qnde/1998/allcontent/265/1998_Sarkar_ProbabilityDetection.pdf|||Fri Jan 14 23:03:14 UTC 2022
dc.source.uri 10.1007/978-1-4615-5339-7_265
dc.subject.disciplines Process Control and Systems
dc.subject.keywords CNDE
dc.title Probability of Detection Modeling for Ultrasonic Testing
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a1ae45d5-fca5-4709-bed9-3dd8efdba54e
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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