Diagnosis, Prognosis and Health Monitoring of Electro Hydraulic Servo Valves (EHSV) using Particle Filters
Bibliographic record
Abstract
Electro hydraulic servo valves (EHSV) constitute as core parts of many hydraulic actuators such as multi-functional spoilers (MFS) in aircraft systems. Their continuous health monitoring is important for the overall flight safety as well as economizing down times and repairs. Hence, diagnosis, prognosis and health monitoring (DPHM) of EHSVs is addressed in this paper for multiple modes of degradations that might be present in the system. The objective of this paper is to demonstrate how each mode of degradation may be isolated and estimated, and how the remaining useful life (RUL) of the EHSV can be assessed for a critically safe component under strict safety regulations. In this paper Bayesian tracking and particle filters are utilized to address three main diagnosis and prognosis problems, namely `isolation', `estimation', and the `remaining useful life'. Several case studies simulations have been provided to demonstrate and illustrate the capabilities of our proposed methodologies.
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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".