Characteristics of fiber Bragg grating temperature sensor at elevated temperatures
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".