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Record W2911145915 · doi:10.1063/1.5057357

Optic fiber temperature sensor based on cascading fiber Bragg gratings

2019· article· en· W2911145915 on OpenAlexaff
Jin Xu, Rongping Wang, Adnane Cabani

Bibliographic record

VenueAIP Advances · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
FundersNational Natural Science Foundation of China
KeywordsFiber Bragg gratingMaterials scienceOpticsFiber optic sensorOptical fiberPHOSFOSBrillouin zoneSpectrum analyzerBrillouin scatteringTemperature measurementOptical filterImage resolutionPolarization-maintaining optical fiberOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

In this paper, we demonstrate a novel method of distributed temperature sensing in optical fibers. The method is based on cascading fiber Bragg gratings (FBGs) single-ended Brillouin optical time-domain analyzer (BOTDA). This proposal applies the cascading FBGs both as a reflector and an optical filter to improves the measurement. Experimental results show that a 75-km sensing range with 3°C temperature resolution and 5 m spatial resolution are achieved.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.215
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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