Cooperative fault accommodation in formation flying satellites
Bibliographic record
Abstract
In this paper a new fault accommodation algorithm based on a two-level architecture is proposed for satellite formation missions. In this two-level framework, the notion of formation-level fault recovery (FLFR) is proposed, and the task of performance monitoring (PM) is defined in the high level (HL). By using the information provided by the PM module, the FLFR is capable of accommodating the ldquounhealthy satelliterdquo that is partially recovered (due to the inexact and inaccurate estimation of the fault by the fault diagnosis and identification (FDI) modules) in the low-level fault recovery (LLFR), but is detected and labeled as ldquounhealthyrdquo by the PM module. Consequently, fault is cooperatively recovered by our proposed architecture, and the specifications of formation mission are satisfied. Simulation results confirm the validity and effectiveness of our proposed algorithm.
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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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".