New Approaches to Ultrasonic Flaw Classification Using Signal Processing, Modeling, and Artificial Intelligence Concepts
dc.contributor.author | Schmerr, Lester | |
dc.date | 2018-02-14T07:43:21.000 | |
dc.date.accessioned | 2020-06-30T06:31:24Z | |
dc.date.available | 2020-06-30T06:31:24Z | |
dc.date.copyright | Wed Jan 01 00:00:00 UTC 1986 | |
dc.date.issued | 1986 | |
dc.description.abstract | <p>There are a number of modern approaches that can be used to characterize flaws in materials. For example, one method, which has been described recently by Wormley and Thompson [1], uses a model-based approach to obtain the “best fit” size and orientation parameters based on a simple equivalent shape such as ellipsoid. Before such sizing estimates can be activated, however, it is first necessary to determine if the unknown flaw being examined is a volumetric or crack-like flaw, since the sizing algorithm will be different for each case. This classification problem, although it is conceptually simpler than the more complete problem of flaw characterization, is, nevertheless, a difficult challenge because of the large number of parameters that can influence the resulting signals. A summary of our recent work on the flaw classification problem is given below. As will be shown, we have chosen to use a combination of signal processing, modeling and artificial intelligence tools to try to pare down the complexity of the ultrasonic responses and isolate those features that are dependent only on flaw-type.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/qnde/1986/allcontent/79/ | |
dc.identifier.articleid | 3428 | |
dc.identifier.contextkey | 5809711 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | qnde/1986/allcontent/79 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/58846 | |
dc.language.iso | en | |
dc.relation.ispartofseries | Review of Progress in Quantitative Nondestructive Evaluation | |
dc.source.bitstream | archive/lib.dr.iastate.edu/qnde/1986/allcontent/79/1986_Schmerr_NewApproaches.pdf|||Sat Jan 15 01:55:31 UTC 2022 | |
dc.source.uri | 10.1007/978-1-4615-7763-8_79 | |
dc.subject.keywords | Engineering Mechanics | |
dc.title | New Approaches to Ultrasonic Flaw Classification Using Signal Processing, Modeling, and Artificial Intelligence Concepts | |
dc.type | event | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isSeriesOfPublication | 289a28b5-887e-4ddb-8c51-a88d07ebc3f3 |
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