Ferroresonant oscillations in a transformer terminated line due to an energised parallel line on the same right-of-way
Bibliographic record
Abstract
Investigations carried out on ferroresonant oscillations in a transformer-terminated line due to an energised parallel line on the same right-of-way are reported. A nonlinear approach is used for analysis. The magnetic saturation characteristic of the individual phases of the three-phase transformer is represented and modelled by a polynomial. A topological technique is used to formulate the state space model to eliminate redundancy. Time domain simulations have been carried out using fourth-order Runge-Kutta method after corroboration with Microtran. The bifurcation diagram of the steady-state solutions is used to unearth the possible modes of ferroresonant oscillations and multiple solutions. The results reveal that with high saturation levels, chaotic ferroresonant oscillations are a distinct possibility due to the capacitive coupling between the parallel lines. Furthermore, the route to chaos is through a sequence of quasiperiodic oscillations. The sensitivities of the solutions with respect to the length of the de-energised line and the proximity between the parallel lines are analysed and discussed.
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.
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 | 0.000 | 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) | 0.002 | 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 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".