Design of a ship fault diagnosis system based on a radial basis neural network
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
Marine diesel engines in the operation process often exhibit single-cylinder oil stops, uneven single-cylinder oil supplies, excessively large exhaust valve gaps, injection timing lags, and other errors. Technicians with experience often cannot accurately determine the fault type. To improve the accuracy of the fault diagnosis, a simulation experiment was carried out in MATLAB, the initial evaluation was carried out using the sensor, and the fault type was determined based on the radial basis neural network during deep diagnosis. The results showed that the radial-based neural network ship fault diagnosis system can stabilize the assessment accuracy by more than 90%, which improves the accuracy of the fault assessment of technicians, thus reducing the incidence of ship accidents.
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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