Condition Monitoring of a Hydraulic Valve Through On-Line Estimation of the Valve Orifice Area Profile
Bibliographic record
Abstract
<div class="htmlview paragraph">Flow rate monitoring plays a crucial role for precise motion control in many hydraulic systems and for detection of faults and fluid loss in hydraulic system components and circuits. In some situations, however, direct measurement of fluid flow is not possible. Besides, flowmeters are generally non-robust, expensive, and slow in response. In this paper, we have proposed an alternative approach to direct flow measurement for circuits that contain a combination of proportional valves and actuators. A nonlinear state-space representation is used to model the valve orifice area variation with respect to the valve spool position. Kalman Filtering is then utilized to estimate the valve's orifice area in real-time by fusing data from robust low-cost pressure transducers and position sensors. A close agreement is achieved between the estimated and the measured orifice areas for a valve with a complex wedge-shape orifice profile. The orifice area estimate also revealed that the valve spool was not centered at its null (zero) position, which is considered as a flaw in the valve.</div>
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".