Model-Based Reliability, Availability, and Maintainability Analysis for Satellite Systems with Collaborative Maneuvers via Stochastic Games
Why this work is in the frame
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Bibliographic record
Abstract
Space-based navigation systems rely on satellites to operate in orbit and have lifetimes of 10 years or more. Engineers employ Reliability, Availability, and Maintainability (RAM) analysis during the design phase to maximize a satellite's mean time between failures (MTBF). These design parameters help to optimize maintenance plans, enhance overall reliability, and extend the satellite's lifespan. The paper presents a novel approach using concurrent stochastic games (CSG) to model a single satellite with logical and formal specifications of RAM properties in rPATL. We leverage the PRISM-games model checker for quantitative analysis while considering collaborative behaviors between involved players in orbit and on the ground. This CSG-based approach offers a rich design space where actors considered as players involved in satellite maintenance can collaborate and learn optimal strategies.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it