Processing of high voltage stator insulation system-art or science? an overview
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
The optimization of processes for the production of high voltage stator coils and bars has often been based on multiple trial runs followed by the qualification and extensive testing of the prototype product. The parameters affecting the steps of flow, gel and cure of the resin matrix within the composite insulation system are many and their interaction extremely complex. The generation of suitable theoretical models, although proposed by many, has been found very difficult in practical application. However extensive characterization and understanding of the theology, reactivity and polymerization process conducted on the base resin can contribute to a better perception of why certain process conditions can be successful and streamline their optimization. Ideally "in-situ" monitoring of the molecular changes occurring during the various process' steps can further lead to a more direct understanding in real time of the transformation taking place and eventually contribute to process automation. This overview explores the multitude of variables, their interaction and the techniques that can be employed to contribute to convert into a solid science a well-established art.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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