Hydro-Québec Experience with Acoustic Scintillation Flow Measurement Method in Low Head Power Plants ABSTRACT
Bibliographic record
Abstract
The flow is one the most difficult parameters to measure in determining the efficiency of a hydraulic turbine. For low head power plants, it is even more difficult because the measurement is normally done in a short converging intake. Few methods exist for performing the flow measurement under these conditions; one of them is the Acoustic Scintillation Flow Measurement (ASFM) method. After a first comparative test with a Current Meter (CM) measurement at Laforge-2 power plant, HQ acquired an ASFM system and has gone through a series of comparative tests in five other power plants. For some power plants, the agreement between both methods (CM vs ASFM) was good while for some others, difficulties were encountered which lead to a greater difference. These results will be used to illustrate the accuracy achievable with the ASFM under various intake hydraulic 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".