Overload Detection/Health Monitoring Landing Gear Sensor System Proposal
Bibliographic record
Abstract
In recent years, both the major aircraft manufacturers and airline customers have asked landing gear suppliers to begin the development of a viable overload detection/health monitoring system (ODHMS) for in-service and future aircraft landing gear projects. At present, there is no reliable/quantifiable means of determining whether a landing gear has been overloaded during both landing and ground maneuvering conditions. Instead, airlines and aircraft manufacturers rely on a combination of the pilot's judgement and flight recorder data. This thesis outlines current overload detection methods and their shortcomings. It also proposes two possible ODHMS system configurations and provides the basic algorithms required to predict the applied loads acting on the landing gear. Both ODHMS systems require the use of strain guages and potential guage types are reviewed. Finally, a technology development test plan is outlined to produce a mature ODHMS to be placed on the next generation single aisle aircraft platform.
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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) | 0.001 | 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 | 0.001 |
| 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".