Bibliographic record
Abstract
There are limited diagnostic testing techniques for the stator winding insulation of large hydro-generators. Some popular AC insulation tests cannot be applied to a large hydrogenerator since a large AC power source is required to energize the stator winding with a high capacitance. This challenge brings difficulty and a high cost for AC diagnostic tests for a large hydro generator. A 0.1Hz test has an AC component in its test voltage waveform that can be used to perform AC diagnostic tests on the stator winding, such as dissipation factor testing. Since VLF (Very Low Frequency) test equipment is portable, it can be easily taken to a site to perform testing. In this paper, VLF diagnostic testing was applied to a hydro-generator stator winding, such as VLF dissipation factor testing and VLF withstand testing. A comparison test between 0.1Hz and 60Hz tests was also conducted to check if a VLF test result can provide a similar one to a 60Hz test result. The paper presents the 0.1Hz and 60Hz test data, VLF withstanding test data, and condition assessment of a hydro-generator stator winding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".