A Single MTLN Model Including Electrical Wiring and Current Return for Low-Frequency Common-Mode EM-Coupling Simulation
Bibliographic record
Abstract
This article addresses the problem of multiconductor-transmission-line-networks (MTLN) modeling of complex electrical wiring systems in the presence of imperfect grounds (lossy, finite dimensions, sparse…) in order to account for common-mode effects. First, the theoretical principle of a ground junction representing such grounds and that combines a low- and a high-frequency asymptotic approximations is derived on a simple transmission line model. Then, this article shows how this ground junction concept can itself be modeled as an explicit MTLN model in the case of manmade complex ground return networks. A validation is presented on a scale-one full carbon composite business jet cabin fuselage equipped with such an opportunistically designed ground return network and a prototype but realistic wiring. The different steps and drivers of the modeling process are highlighted. Comparisons between measurement and simulations for local voltage injections at equipment ports show the need to account for the current return model and the relevance of the MTLN model for low frequency EM coupling analysis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".