Numerical Modeling Method of Turn-to-Turn Transient Voltages Taking Into Account the Common Mode Interactions
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
Electrifying future aircraft requires the development of advanced embedded electrical power systems. To achieve this objective, increasing on-board voltage levels are needed, beyond the conventional reference values of 230VAC/540VDC. In More-Electric Aircraft (MEA) and All-Electric Aircraft (AEA) applications, rotating electrical machines powered by PulseWidth Modulation (PWM) inverters are widely used. However, the use of these fast-switching PWM inverters combined with the presence of non-negligible cable lengths leads to significant overvoltages at the machine terminals (caused by waveform reflection phenomena) and non-uniform voltage distribution within stator windings. This leads to an increased risk of Partial Discharge (PD) inception, as turn-to-turn voltages may exceed the Partial Discharge Inception Voltage (PDIV). The risk is further exacerbated by the use of Wide Band Gap (WBG) inverters, which enable higher switching frequencies and faster voltage rise times. Combined with the harsh environmental conditions associated to high-altitude operations, these factors further increase the probability of PD inception and insulation breakdown in machine windings. This paper presents a time-domain validation of a High-Frequency (HF) model of an electrical machine stator windings. The method uses a two-time-scale approach, accounting for the electrical machine’s operating environment to predict turn-to-turn and turn-to-ground voltage distributions. In order to take into account the HF behavior of the different elements constituting the stator winding, an experimental validation is carried out using three systems of increasing complexity: an elementary air-core coil, an intermediate ferrite core coil, and a more representative coil with a laminated-iron core to simulate the materials of electrical machines.
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 | 0.000 |
| Open science | 0.001 | 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