Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abbas, Sermad | - |
dc.contributor.author | Fried, Roland | - |
dc.contributor.author | Heinrich, Jens | - |
dc.contributor.author | Horn, Melanie | - |
dc.contributor.author | Jakubzik, Mirko | - |
dc.contributor.author | Kohlenbach, Johanna | - |
dc.contributor.author | Maurer, Reinhard | - |
dc.contributor.author | Michels, Anne | - |
dc.contributor.author | Müller, Christine H. | - |
dc.date.accessioned | 2018-11-27T11:45:06Z | - |
dc.date.available | 2018-11-27T11:45:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/2003/37813 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-19808 | - |
dc.description.abstract | For 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.iso | en | de |
dc.relation.ispartofseries | Discussion Paper / SFB823;29/2018 | - |
dc.subject.ddc | 310 | - |
dc.subject.ddc | 330 | - |
dc.subject.ddc | 620 | - |
dc.title | Detection of anomalous sequences in crack data of a bridge monitoring | en |
dc.type | Text | de |
dc.type.publicationtype | workingPaper | de |
dc.subject.rswk | Spannbetonbrücke | de |
dc.subject.rswk | Spannungsrisskorrosion | de |
dc.subject.rswk | Lebensdauer | de |
dc.subject.rswk | Statistisches Verfahren | de |
dcterms.accessRights | open access | - |
eldorado.secondarypublication | false | de |
Appears in Collections: | Sonderforschungsbereich (SFB) 823 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
DP_2918_SFB823_Abbas_Fried_Heinrich_Horn....pdf | DNB | 3.52 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
This item is protected by original copyright rightsstatements.org