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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.identifier.urihttp://hdl.handle.net/2003/37813-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19808-
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.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;29/2018-
dc.subject.ddc310-
dc.subject.ddc330-
dc.subject.ddc620-
dc.titleDetection of anomalous sequences in crack data of a bridge monitoringen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dc.subject.rswkSpannbetonbrückede
dc.subject.rswkSpannungsrisskorrosionde
dc.subject.rswkLebensdauerde
dc.subject.rswkStatistisches Verfahrende
dcterms.accessRightsopen access-
eldorado.secondarypublicationfalsede
Appears in Collections:Sonderforschungsbereich (SFB) 823

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