Model-based signal processing techniques for ultrasonic flaw detection: simulation studies
dc.contributor.author | Chiou, Chien-Ping | |
dc.contributor.author | Thompson, R. | |
dc.contributor.author | Schmerr, Lester | |
dc.date | 2018-02-14T03:00:16.000 | |
dc.date.accessioned | 2020-06-30T06:41:56Z | |
dc.date.available | 2020-06-30T06:41:56Z | |
dc.date.copyright | Fri Jan 01 00:00:00 UTC 1993 | |
dc.date.issued | 1993 | |
dc.description.abstract | <p>The ultrasonic signals observed in inspection processes can often be accurately predicted by suitable measurement models. These model predictions can be used to provide important information to guide the development of subsequent signal processing algorithms. Here such a hybrid use of ultrasonic modeling and signal processing is demonstrated in the context of the problem of detecting ultrasonic flaw signals in noise. In particular, we wish to apply this hybrid methodology as an initial approach to solving the problem of detecting hard-alpha inclusions in titanium alloys.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/qnde/1993/allcontent/89/ | |
dc.identifier.articleid | 1326 | |
dc.identifier.contextkey | 5774100 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | qnde/1993/allcontent/89 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/60336 | |
dc.language.iso | en | |
dc.relation.ispartofseries | Review of Progress in Quantitative Nondestructive Evaluation | |
dc.source.bitstream | archive/lib.dr.iastate.edu/qnde/1993/allcontent/89/1993_Chiou_ModelBased.pdf|||Sat Jan 15 02:18:27 UTC 2022 | |
dc.source.uri | 10.1007/978-1-4615-2848-7_89 | |
dc.subject.disciplines | Acoustics, Dynamics, and Controls | |
dc.subject.disciplines | Signal Processing | |
dc.title | Model-based signal processing techniques for ultrasonic flaw detection: simulation studies | |
dc.type | event | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isSeriesOfPublication | 289a28b5-887e-4ddb-8c51-a88d07ebc3f3 |
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