uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Classifying ultrasonic resonance spectra using a neural network
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Technology, Department of Materials Science. SIGNALS AND SYSTEMS.
2000 (English)In: MATERIALS EVALUATION, ISSN 0025-5327, Vol. 58, no 1, 74-79 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we present a neural network based spectrum classifier (NSC) and its application to ultrasonic resonance spectroscopy (URS). URS is a method for testing stiff materials by exciting the sample under test into mechanical resonance by progressiv

Place, publisher, year, edition, pages
AMER SOC NON-DESTRUCTIVE TEST , 2000. Vol. 58, no 1, 74-79 p.
Keyword [en]
ultrasonic resonance spectroscopy; neural networks; disbonds; composites
Identifiers
URN: urn:nbn:se:uu:diva-36552OAI: oai:DiVA.org:uu-36552DiVA: diva2:64451
Note
Addresses: Stepinski T, Uppsala Univ, Box 528, SE-75120 Uppsala, Sweden. Uppsala Univ, SE-75120 Uppsala, Sweden. IAR Syst AB, SE-75023 Uppsala, Sweden.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-14

Open Access in DiVA

No full text

By organisation
Department of Materials Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 388 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf