Real-Time Parameter Identification for a Control-Oriented Model of Continuous Infrared Drying of a Wet Fabric
Why this work is in the frame
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Bibliographic record
Abstract
Parameters are determined for a model representing the drying dynamics of a wet fabric continuously passing through an infrared oven using a method involving off-line (batch) data processing, as well as by real-time recursive calculation. Drying trials with the infrared oven under various operational conditions demonstrate the strong nonlinearity of the drying process. Because of this, the model parameters established by off-line (batch) processing do not allow adequate calculation of the observed process responses under other different operating conditions. On the other hand, a method of recursive identification applied to real-time treatment of the readings from the oven provides a model with very satisfactory adaptation to changing operational conditions. The results also show that a simple first-order model represents the dynamic characteristics of the oven just as well as models of higher order, thus providing an important advantage for elaborating an efficient numerical controller for the drying process.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.000 |
| 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 it