RACER Compound Helicopter: Operational Wireless FTI Data Transfer from ROTOR's up to Fuselage
Bibliographic record
Abstract
Acquiring helicopter rotor data is always a very sensitive point that requires at least "effort and special attention". This data acquisition is generally managed by a "physical link" (slip ring for example) whereas wireless products are now present everywhere with a technology more than promising. The objective of this paper is to show how the wireless technology was developed within the framework of RACER COUMPOUND HELICOPTER to monitor the three rotors in accordance with CS29 regulations for the mechanical assembly, DO160 rules for environmental constraints and IRIG 106 standard for Flight Test Instrumentation domain notwithstanding that this wireless acquisition means will be used on a daily basis to monitor the data from the three rotors of the RACER. The paper provides an overview of this project, supported by the CEE (Horizon 2020/CS2), and from the initial requirement up to the operational results obtained during the flight test campaigns carried out on the H175. Finally, this paper, based on this use case ( RACER oriented) , aims also to open the perspective of using such a wireless application on helicopters in service in the frame of health monitoring system
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.001 |
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; both teacher heads agree on what is shown here.
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".