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Record W2163758769 · doi:10.1109/tie.2013.2279377

A Real-Time Nonlinear Hysteretic Power Transformer Transient Model on FPGA

2013· article· en· W2163758769 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Industrial Electronics · 2013
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEmulationTransformerField-programmable gate arrayElectronic engineeringComputer scienceHardware emulationNonlinear systemEngineeringElectrical engineeringVoltageEmbedded systemPhysics

Abstract

fetched live from OpenAlex

A transformer is the most widely used equipment in power systems to transfer energy from one circuit to another. For real-time electromagnetic transient simulation, this paper presents a digital hardware emulation of the power transformer on a field programmable gate array. The linear model of the transformer is based on the admittance matrix approach. Detailed real-time modeling of the transient nonlinearities, including hysteresis phenomena, is carried out based on the Preisach theory. The nonlinear solution in real time is undertaken using a full Newton iteration. All the hardware modules for the transformer emulation were developed in VHDL. The model is fully parallelized and pipelined to achieve the lowest latency and the smallest hardware resource consumption. Real-time results on the oscilloscope are compared with off-line results from the ATP software.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.014
GPT teacher head0.215
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it