Detection of anomalous sequences in crack data of a bridge monitoring

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dc.contributor.authorAbbas, Sermad
dc.contributor.authorFried, Roland
dc.contributor.authorHeinrich, Jens
dc.contributor.authorHorn, Melanie
dc.contributor.authorJakubzik, Mirko
dc.contributor.authorKohlenbach, Johanna
dc.contributor.authorMaurer, Reinhard
dc.contributor.authorMichels, Anne
dc.contributor.authorMüller, Christine H.
dc.date.accessioned2018-11-27T11:45:06Z
dc.date.available2018-11-27T11:45:06Z
dc.date.issued2018
dc.description.abstractFor estimating the remaining lifetime of old prestressed concrete bridges, a monitoring of crack widths can be used. However, the time series of crack widths show a strong variation mainly caused by temperature and traffic. Additionally, sequences with extreme volatility appear where the cause is unknown. They are called anomalous sequences in the following.We present and compare four methods which aim to detect these anomalous sequences in the time series. Volatilities caused by traffic should not be detected.en
dc.identifier.urihttp://hdl.handle.net/2003/37813
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19808
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;29/2018
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.subject.rswkSpannbetonbrückede
dc.subject.rswkSpannungsrisskorrosionde
dc.subject.rswkLebensdauerde
dc.subject.rswkStatistisches Verfahrende
dc.titleDetection of anomalous sequences in crack data of a bridge monitoringen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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