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Record W2326267644 · doi:10.1049/iet-epa.2015.0447

Constant‐parameter synchronous machine model including main flux saturation

2016· article· en· W2326267644 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

VenueIET Electric Power Applications · 2016
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsInternational Game Technology (Canada)University of British Columbia
Fundersnot available
KeywordsSaturation (graph theory)Flux (metallurgy)Constant (computer programming)Control theory (sociology)Synchronous motorTime constantComputer sciencePhysicsMathematicsMaterials scienceEngineeringArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents a new general‐purpose state‐space synchronous machine model based on the voltage‐behind‐reactance (VBR) formulation which accounts for main flux saturation. The proposed model has a numerically efficient constant‐parameter decoupled RL branch interfacing circuit comprised of the stator and field windings. Consequently, the new model can be interfaced directly with arbitrary power networks and exciter circuits. The presented studies, executed using the Simulink toolbox PLECS, demonstrate the superior combination of numerical accuracy and efficiency of the new VBR model compared with existing state‐of‐the‐art models. As a result, the proposed model would be a desirable addition to the built‐in component libraries of many industry‐grade state‐variable‐based transient simulators.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.010
GPT teacher head0.229
Teacher spread0.219 · 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