Dual-frequency Optoelectronic Oscillator for Thermal-Insensitive Interrogation of a FBG Strain Sensor
Bibliographic record
Abstract
We propose and experimentally demonstrate an approach to perform high-speed and high-resolution thermal-insensitive interrogation of a fiber Bragg grating (FBG) strain sensor based on a dual-frequency optoelectronic oscillator (OEO). Two phase-shifted FBGs (PSFBGs) are incorporated in the OEO loop to implement a microwave photonic filter with two passbands based on phase modulation and phase-modulation to intensity-modulation conversion, to generate two microwave signals with their frequencies determined by the center frequencies of the two passbands. When one of the PSFBG is experiencing a strain, a beat frequency between the two microwave signals that is linearly proportional to the strain applied to the sensing PSFBG is obtained. By monitoring the beat frequency using a digital signal processor, the strain is measured. The proposed approach is experimentally demonstrated. High-resolution sensing with a resolution of $0.83~\mu \varepsilon $ that is thermal insensitive is demonstrated.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".