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Record W2010177228 · doi:10.1109/iscas.2010.5537073

Averaged-circuit modeling of line-commutated rectifiers for transient simulation programs

2010· article· en· W2010177228 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRectifier (neural networks)Computer scienceTransient (computer programming)Nodal analysisLine (geometry)Electronic circuitNetwork analysisModified nodal analysisElectronic engineeringInterface (matter)Transient analysisState spaceControl theory (sociology)Transient responseElectrical engineeringEngineeringParallel computingMathematicsNODALControl (management)

Abstract

fetched live from OpenAlex

Dynamic average-value models (AVM) for line-commutated rectifier circuits are generally formulated in a state-space form and hence are straightforward to implement in state-variable-based simulation languages. In nodal-analysis-based languages, however, developing AVMs requires additional effort to reformulate the models and interface them with the external circuit networks. This paper proposes an averaged-circuit model for representing three-phase line-commutated rectifier in nodal-analysis-based simulation languages. The model derivation and its interface with the network are presented. The proposed model is verified against a detailed switch-level implementation of the system.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.664
Threshold uncertainty score0.405

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 integrity0.0000.000
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 head0.028
GPT teacher head0.250
Teacher spread0.221 · 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

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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