MétaCan
Menu
Back to cohort
Record W2350771035

Fibre Bragg Grating Sensor for Simultaneous Measurement of Current and Temperature

2009· article· en· W2350771035 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsFiber Bragg gratingMaterials scienceOpticsCurrent (fluid)Current sensorFabry–Pérot interferometerTemperature measurementOptical fiberMagnetostrictionDemodulationInterferometryFiber optic sensorElectromagnetic coilOptoelectronicsGratingMagnetic fieldPhysicsElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

A fiber optic sensor based on Fiber Bragg Grating (FBG) Fabry-Perot Interferometer (FPI) is designed and experimentally demonstrated for simultaneous measurement of alternating current and temperature,in which a laser with single-frequency is used as the light source.The cavity of the FPI is affixed to magnetostrictive material and the pair of (FBG) as the cavity reflectors is placed freely.The length of the cavity is changed cyclically due to the influence of magnetic field around the current on magnetostrictive material,and the peak reflectivity of the FPI is affected by the temperature because of the thermal expansion and the thermo-optic effect.Theoretical analysis indicate that,the temperature and the current can be simultaneously measured by detecting the peaks and frequences of the signal.The experimental results of measuring the current of a coil and the environmental temperature agree well with the theory.This sensor has a wide application prospect due to its simple manufacture and easy demodulation.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.212

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 head0.020
GPT teacher head0.231
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