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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
URN: urn:nbn:se:uu:diva-36552OAI: oai:DiVA.org:uu-36552DiVA: diva2:64451
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

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