Reliability analysis of aircraft servo-actuation systems based on the evidential networks with imprecise information
Bibliographic record
Abstract
A servo-actuation system is one of the key executing subsystems of the flight control system of an aircraft. With the development of the fly-by-wire control systems, the redundant servo-actuation systems have been extensively applied. A servo-actuation system has a long life and high reliability, which results in the lack of experiment information. In the meantime, the available data is insufficient and imprecise during its product design stage. In this paper, the evidential networks or simply EN are adopted to handle the imprecise probabilities. The formulae of marginal belief mass for series and parallel systems are represented respectively. The basic reliability model and mission reliability model of a three-redundancy servo-actuation system in an aircraft flight control system are analyzed using the EN approach, respectively. The EN manage and quantify the imprecision of the servo-actuation effectively, and propagate the imprecision from the root nodes to the top nodes, which represent system reliability.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".