Simultaneous sensor and actuator fault reconstruction and diagnosis using generalized sliding mode observers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new filter for state and fault estimation in a class of nonlinear systems is presented in this paper. The observer benefits from both sliding mode control and singular systems theory. The novelty of this approach is based upon dealing with systems prone to faults at sensors and actuators during the course of the system's operation coincidentally. Conditions and proofs of conversion for the proposed observer are presented. A noticeable feature of the proposed approach is that the state trajectories do not leave the sliding manifold even in presence of sensor/actuator faults. This allows for actuator faults to be reconstructed based upon information retrieved from the equivalent output error injection signal. Due to employing a generalized state space form (singular system theory), the sensor faults are also estimated.
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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 | 0.000 | 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 it