Sensing Concept for Practical Performance-Monitoring of Centrifugal Pumps
Bibliographic record
Abstract
A sensing concept for quantifying the performance of centrifugal pumps is proposed herein. The system uniquely combines three measurement approaches: thermodynamic efficiency monitoring, vibration monitoring, and dynamic fluid pressure analysis. The instrumentation comprises five conventional sensors; two pressure transducers, two temperature sensors, and an accelerometer. Pressure and temperature measurements are collected at the pump intake and discharge, and vibration data is collected on the axial face of the pump volute. This study discusses the theoretical basis of the proposed system and puts forth a method intended to quantify thermal efficiency, the extent of impeller wear, and the presence of cavitation, vortexing, or flow recirculation. In practice, the proposed sensor system could be employed as a static installation or a portable tool. The sensing approach is suitable for a variety of pump configurations, fluid compositions, and operating conditions.
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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) | 0.000 | 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 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".