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Record W2026171288 · doi:10.1117/12.539986

Simultaneous strain and temperature measurement in PM fibers using Brillouin frequency, power, and bandwidth

2004· article· en· W2026171288 on OpenAlexaff
Qinrong Yu, Xiaoyi Bao, Liang Chen

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBandwidth (computing)Brillouin scatteringMaterials scienceTemperature measurementBrillouin zoneStrain (injury)Power (physics)OptoelectronicsOptical fiberOpticsPhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The strain and temperature dependence of the Brillouin gain/loss spectrum has been studied in terms of Brillouin frequency, power and bandwidth for panda, bow-tie and tiger polarization maintaining (PM) fibers using our Brillouin gain/loss based distributed sensor system for the first time. The PM fibers are stressed at various temperature to measure the power, bandwidth and Brillouin frequency coefficients at the spatial resolution of 20 cm. Using our measured coefficients with various combinations Brillouin power and bandwidth and Brillouin frequency, we realized three groups of simultaneous temperature and strain sensing, for Brillouin frequency combined with bandwidth, strain/temperature resolutions are 39με/2°C (panda), 126με/3°C (bow-tie), 598με/16°C (tiger); for the Brillouin frequency combined with power, strain/temperature resolutions are 153με/8°C (panda), 237με/4°C (bow-tie); for the bandwidth combined with power, strain/temperature resolutions are 135με/38°C (panda), 195με/38°C (bow-tie).

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
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)0.0000.000

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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
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

Citations4
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Fiber Optic SensorsFrench-language works237,207