Sensor and actuator fault detection and isolation for a high performance aircraft engine bleed air temperature control system
Bibliographic record
Abstract
In this paper, an unscented Kalman filter (UKF) based method is developed to detect and isolate both sensor and actuator faults and applied to a high performance aircraft bleed air temperature control system. Known UKF based fault detection and isolation methods deal with sensor faults or actuator faults only. For the aircraft bleed air temperature control system studied in this paper, potential faults associated with both the temperature sensor and valve actuators of the control system need to be considered. The proposed method contains two unscented Kalman filters: one is used to detect sensor fault and the other is dedicated to actuator fault. Nonlinear state space equations describing the engine bleed air temperature control system dynamics are derived and utilized in the design and analysis of the proposed fault detection and isolation method. Computer simulations and experiments have been conducted, and the proposed fault detection method is shown to be effective in detecting and isolating sensor and actuator faults.
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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".