Pilot head and body vibration in response to main rotor track-and-balance tuning
Bibliographic record
Abstract
While night vision goggles (NVG) have become an essential part of rotorcraft night flight operations for the military, there has been an increase in the reports of neck strain and neck pain in flight crews using the equipment. The neck is required to support the weight of the NVG on the helmet and is constantly stabilizing the head to counteract the helicopter vibrations. The current flight tests examined the magnitude of vibrations at the pilot's head while tuning or slightly de-tuning the track-and-balance of the main rotor on the NRC Bell 412 as well as measuring the physiological response of the pilot to the resulting vibration levels. While the minimal detuning of the main rotor increased the vibration of the helicopter (by about 0.006g), the increase in vibration at the pilots head was substantial (a 0.01g increase). Physiological measures showed increased heart rate and decreased tactile sensitivity as the helicopter vibration increased. While it is likely that the increased vibration resulting from poor rotor track-and-balance increases the level of neck strain on pilots, further research is required to determine the magnitude of these effects and the maximum safe exposure level
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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 | 0.001 |
| 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".