Performance assessment of level controllers
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A variety of techniques have been developed for the assessment of industrial control loops. These involve computation of an index which compares some measure of controlled variable performance (e.g. variance of distillate impurity) to the best achievable. Such methods are generally not suitable for the assessment of surge tank level controllers, for which the behaviour of the manipulated effluent flowrate is of greater concern. This paper introduces a flow smoothing performance index for the assessment of surge tank level loops against an averaging level control standard. Several control schemes were evaluated as potential flow smoothing benchmarks through application to simulated, pilot‐plant and industrial data sets. An optimal PI regulator was recommended as the default performance standard for industrial level control loops. A novel feature of this assessment technique is that it not only measures the performance of the installed controller, but also specifies new settings for the PI tuning parameters. Copyright © 2003 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 | 0.000 | 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