Evidence map›Paper›PMID 37571477›Full record

ArticleSensors (Basel, Switzerland)2023

Assessment of Fiber Bragg Grating Sensors for Monitoring Shaft Vibrations of Hydraulic Turbines.

Xavier Sánchez-Botello, Rafel Roig, Oscar de la Torre, Javier Madrigal, Salvador Sales, Xavier Escaler

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Xavier Sánchez-BotelloIFLUIDS, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain.ORCID 0000-0002-2501-5263
Rafel RoigIFLUIDS, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain.ORCID 0000-0001-9186-2279
Oscar de la TorreFloating Power Plant A/S, 4941 Bandholm, Denmark.
Javier MadrigalITEAM, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0003-3156-1321
Salvador SalesITEAM, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-9457-976X
Xavier EscalerIFLUIDS, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain.ORCID 0000-0002-9374-7749

Funding

European Commission 814958
6 · The paper itself

Abstract

The structural dynamic response of hydraulic turbines needs to be continuously monitored to predict incipient failures and avoid catastrophic breakdowns. Current methods based on traditional off-board vibration sensors mounted on fixed components do not permit inferring loads induced on rotating parts with enough accuracy. Therefore, the present paper assesses the performance of fiber Bragg grating sensors to measure the vibrations induced on a rotating shaft-disc assembly partially submerged in water resembling a hydraulic turbine rotor. An innovative mounting procedure for installing the sensors is developed and tested, which consists of machining a thin groove along a shaft line to embed a fiber-optic array that can pass through the bearings. At the top of the shaft, a rotary joint is used to extract, in real time, the signals to the interrogator. The shaft strain distribution is measured with high spatial resolution at different rotating speeds in air and water. From this, the natural frequencies, damping ratios, and their associated mode shapes are quantified at different operating conditions. Additionally, the change induced in the modes of vibration by the rotation effects is well captured. All in all, these results validate the suitability of this new fiber-optic technology for such applications and its overall better performance in terms of sensitivity and spatial resolution relative to traditional equipment. The next steps will consist of testing this new sensing technology in actual full-scale hydraulic turbines.

Indexed as

fluidshigh-spatial-resolution mode shapeshydropoweroptical fiber sensorsrotating shaftstrain measurementvibration measurement

Identifiers

PMID37571477
PMCPMC10422245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.