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Record W2129246427 · doi:10.1109/icmens.2005.33

Characteristics of fiber Bragg grating temperature sensor at elevated temperatures

2006· article· en· W2129246427 on OpenAlexafffund
Bowei Zhang, Mojtaba Kahrizi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaConcordia University
KeywordsMaterials scienceFiber Bragg gratingTemperature measurementAtmospheric temperature rangeGratingExcimer laserRefractive indexHydrogenCore (optical fiber)OpticsOptoelectronicsOptical fiberLaserComposite material

Abstract

fetched live from OpenAlex

This report is a part of ongoing research to develop high temperature optical sensors. We report our design and analyze of a hydrogen loaded fiber Bragg grating (FBG) temperature sensor range from room temperature to over 1000/spl deg/C. FBGs were fabricated in hydrogen loaded Ge-doped fibers using 248 nm excimer laser and their performance characteristics were tested. The gratings have shown stabilized at temperatures in excess of 700/spl deg/C and survived at temperatures in excess of 930/spl deg/C. These testing reveal the thermal reliability of tested gratings is related to the refractive index modulation inside the core of FBGs. In this research, we also found the high temperature resistance FBG could be formatted using conventional hydrogen loaded FBG, and stabilized in excess of 1000/spl deg/C. Our experimental results provide a better understanding of the formation to the hydrogen loaded FBGs and their decay behavior at elevated temperatures.

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 categoriesnone
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 score0.032
Threshold uncertainty score0.892

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 head0.004
GPT teacher head0.196
Teacher spread0.192 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2006
Admission routes2
Has abstractyes

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