Infrasound noise radiated from vibrating screens atan ore refinery: Part 2 - Noise reduction treatments and noise mapping technique
Bibliographic record
Abstract
An infrasound problem has been identified at an ore refining factory and large vibrating screens were identified as the dominant source. In order to evaluate potential solutions allowing to reduce the screens' acoustical emission, a 1:15 scale model was built to be tested in laboratory. Noise mapping techniques were used to highlight the radiating patterns and measure the performance of tested solutions. The displayed value is the sound intensity global level ranging from 205 to 235 Hz which represents the 13.5 to 15.5 Hz operating range for the full scale vibrating screen and the color scale ranges from 65 to 85 dB. The noise maps were performed at a 15 cm distance from the sound source. The lack of acoustical short-circuit generates a high pressure level in the hopper and the leak at the hopper's perimeter radiates the energy to the outside.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".