Statistical Evaluation of Strain Reading Anomalies in Distributed Fiber Optic Strain Sensing Measurements

Contributing person
datacite.contributor.DataCollector

Lisa Ulbrich

Countries to which the data refer
datacite.geolocation.iso3166

GERMANY

References to related material
datacite.relatedItem.IsCitedBy

Richter, B., Ulbrich, L., Herbers, M., Marx, S.: Advances in data pre-processing methods for distributed fiber optic strain sensing. Sensors 24(23), 7454 (2024). https://doi.org/10.3390/s24237454

Description of the data
datacite.resourceType

There are four .xlsx files available: "cracked.xlsx", "prestressed.xlsx", "unloaded.xlsx" and "Evaluation.xlsx". The files "cracked.xlsx", "prestressed.xlsx" and "unloaded.xlsx" include the following datasheets: - "Measurement_orginal_tsv" - the original .tsv-dataset of ODiSi6100 imported into excel - "Measurement_reorientated" - the inverted dataset used for manual strain reading anomalie detection - "Measurement_marked" - the measurement with marked strain reading anomalies (marked as "SRA") The file "Evaluation.xlsx" includes datasheets for each load step for "SRA" and "NaN" (dropouts), which include information about each registrated SRA and dropout. Additionally, "Evaluation.xlsx" includes a datasheet called "Categorie" in order to clarify the assignment of the SRA to a category regarding their neighbouring datatype (accurate strain value, SRA, dopout).

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

102470218

Author
dc.contributor.author

Ulbrich, Lisa

Upload date
dc.date.accessioned

2025-01-30T12:16:56Z

Publication date
dc.date.available

2025-01-30T12:16:56Z

Data of data creation
dc.date.created

2024

Publication date
dc.date.issued

2025-01-30

Abstract of the dataset
dc.description.abstract

Three different strain measurements with distributed fibre optic sensors using the ODiSI 6100 in different load conditions have been analyzed regarding the occurence of strain reading anomalis. Therefore, strain reading anomalies have been marked manually. The load states include a cracked state ( prestressed concrete specimen in 4-point-bending with increasing load), a prestressed state (concrete specimen after prestressing, small cracking) and an unloaded state (prestressed concrete specimen). The used EpsilonSensors (3 mm, ripped) of NerveSensors have been embedded in the concrete specimens. All measurements have been carried out using a gage pitch of 1.3 mm and frequencies between 1 and 6 Hz. The key has been created before concreting of the specimens. The datasets can be used f.e. for the evaluation of pre-processing algorithms or the creation of benchmark datasets. The datasets have been choosen due to their bad measurement quality and are no measure for the overall quality of distributed fibre optic strain sensing measurements. The quality issues might be due to dirty connections, scratched connections or sharp strain gradients.

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/1077

Publisher
dc.publisher

Technische Universität Dresden

Licence
dc.rights

Attribution-NonCommercial-ShareAlike 4.0 Internationalen

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by-nc-sa/4.0/

Specification of the discipline(s)
dc.subject.classification

4::45

Title of the dataset
dc.title

Statistical Evaluation of Strain Reading Anomalies in Distributed Fiber Optic Strain Sensing Measurements

Research instruments
opara.descriptionInstrument

ODiSi6100 Luna Inc.
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