비행시험 데이터를 활용한 스마트 무인기 엔진의 비선형 특성 분석
Bibliographic record
Abstract
한국항공우주연구원에서 개발 중인 스마트 무인기는 Pratt&Whitney Canada 사의 PW206C 터보 축 엔진을 주 추진기관으로 사용한다. 엔진의 전자식 제어기 개발을 위해서는 비선형 특성 분석이 중요하며 이를 위해 천이해석 프로그램을 통해 다양한 운용환경에서의 동적 거동 특성을 분석해야 한다. 본 연구에서는 엔진 제작사에서 제공한 천이해석 프로그램을 분석하고 스마트 무인기용 터보 축 엔진의 비행시험 데이터와 비교하였다. 비행시험 데이터 분석을 통한 스마트 무인기 엔진의 특성을 프로그램에 반영하고, 프로그램의 신뢰도를 검증하기 위해 비행시험 데이터 및 정상상태 성능예측프로그램 결과와 비교하였다.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.008 |
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".