Meeting the Requirements of Distributed Engine Control via Decentralized, Modular Smart Sensing
Bibliographic record
Abstract
3Wright-Patterson AFB, OH, 45433, USA With the development of reliable smart transducer node devices, it is possible to realize a fully distributed engine control system. Smart nodes should be designed to be fault-tolerant devices as well as be self-contained and modular so that they may be universally applicable to any control system component. Additionally, they should be capable of operating at high temperatures, yet be low-weight and small. In this paper, some concepts are given to address these requirements. To demonstrate the overall system performance, communication resource utilization, and validate fault tolerance, a prototype Smart Sensor Node (SSN) device is evaluated in a high-fidelity hardware-in-the-loop simulator using a CAN bus protocol. To enhance the reliability analyses, a real-time distributed software-inthe loop simulation has been undertaken. The simulator serves as a test bed for validation and verification (V&V) efforts for future distributed engine control components.
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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".