Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing.

Bertram Richter, Lisa Ulbrich, Max Herbers, Steffen Marx

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

High-Resolution OFDR with All Grating Fiber Combining Phase Demodulation and Cross-Correlation Methods.Sensors (Basel, Switzerland) · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bertram RichterInstitute of Concrete Structures, TUD Dresden University of Technology, 01062 Dresden, Germany.ORCID 0000-0002-3833-8424

Lisa UlbrichHentschke Bau GmbH, Zeppelinstr. 15, 02625 Bautzen, Germany.ORCID 0000-0001-9868-1139

Max HerbersInstitute of Concrete Structures, TUD Dresden University of Technology, 01062 Dresden, Germany.ORCID 0000-0002-2187-1652

Steffen MarxInstitute of Concrete Structures, TUD Dresden University of Technology, 01062 Dresden, Germany.ORCID 0000-0001-8735-1345

Funding

Federal Ministry for Digital and Transport, Germany 19FS2013AFederal Ministry for Digital and Transport, Germany 19FS2013C

6 · The paper itself

Abstract

Because of their high spatial resolution over extended lengths, distributed fiber optic sensors (DFOS) enable us to monitor a wide range of structural effects and offer great potential for diverse structural health monitoring (SHM) applications. However, even under controlled conditions, the useful signal in distributed strain sensing (DSS) data can be concealed by different types of measurement principle-related disturbances: strain reading anomalies (SRAs), dropouts, and noise. These disturbances can render the extraction of information for SHM difficult or even impossible. Hence, cleaning the raw measurement data in a pre-processing stage is key for successful subsequent data evaluation and damage detection on engineering structures. To improve the capabilities of pre-processing procedures tailored to DSS data, characteristics and common remediation approaches for SRAs, dropouts, and noise are discussed. Four advanced pre-processing algorithms (geometric threshold method (GTM), outlier-specific correction procedure (OSCP), sliding modified

Indexed as

algorithm benchmarkingautomationdata filteringdata pre-processingdata qualitydistributed fiber optic sensingsoftware developmentstructural health monitoring

Identifiers

PMID39685991

DOI10.3390/s24237454

PMCPMC11644546

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.