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Damage detection on railway bridges using system identification
Karlstad University.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2013. , 44 p.
Keyword [en]
ARMA, system identification, railway bridge, dynamics, vibration, damage detection
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kau:diva-28595Local ID: EL:1OAI: oai:DiVA.org:kau-28595DiVA: diva2:639567
Subject / course
Electrical Engineering
Supervisors
Examiners
Available from: 2013-08-08 Created: 2013-08-08 Last updated: 2017-08-10Bibliographically approved

Open Access in DiVA

fulltext(13251 kB)0 downloads
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File name FULLTEXT01.pdfFile size 13251 kBChecksum SHA-512
cd0355ff43312d1e9ba6921abd08996d157e2e5990bb5b56cc83f7e8341c27712c83ac70b77cec2c8f0bbba1d7237dd92e08eba7cd3050c507d6418c75366023
Type fulltextMimetype application/pdf

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Karlstad University
Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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