Compensation of Scanning Speed Instability in a Wavelength-Swept Laser for Dynamic Fiber Optic Sensors
Bibliographic record
Abstract
The scanning speed stability of a wavelength-swept laser (WSL) with a polygon-scanner-based wavelength filter (PSWF) is affected by the speed of the brushless direct current (BLDC) motor driving a polygonal scanner mirror (PSM). In particular, the PSM running at low speeds experiences fluctuations in rotational speed, causing the output of the WSL to fluctuate in the temporal domain. The speed variation of the WSL causes critical measurement errors in the fiber Bragg grating (FBG) interrogator sensors. In this study, we successfully corrected the output error of the FBG array sensor caused by the PSM rotational speed fluctuations in a WSL running at a low scanning rate. The FBG array used five FBGs, and the time intervals of the FBGs were corrected according to the PSM rotation speed variation based on the periodic interval of the array signal. A WSL with a scanning rate of 1.0 kHz suggested a 97% improvement after compensating for rotational speed variations of the PSM.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".