A Cyclic Variability Monitoring System Based Upon Cycle Resolved Exhaust Temperature Sensing
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Bibliographic record
Abstract
This paper describes a means of monitoring cyclic variability in reciprocating engines that is an alternative to cylinder pressure measurements. The monitoring system uses robust exhaust temperature sensors that are capable of detecting cycle-to-cycle variations in the gas temperatures near each exhaust port. These variations are related to cyclic variations in combustion, and tend to increase as cyclic variability worsens. Further processing yields a combustion variability signal that is intended to reflect relative changes in the Coefficient of Variation of Indicated Mean Effective Pressure (COV of IMEP). Proof of concept experiments have been carried out using a naturally aspirated, propane fueled automotive engine equipped with laboratory grade in-cylinder pressure transducers. The results show a good correlation between the exhaust cyclic variability signal and the COV of IMEP from cylinder pressure measurements.
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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 | 0.001 |
| 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 it