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Record W2106278471 · doi:10.1109/tpwrd.2004.839726

Electromagnetic transients simulation models for accurate representation of switching losses and thermal performance in power electronic systems

2005· article· en· W2106278471 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 Power Delivery · 2005
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsResearch ManitobaUniversity of Manitoba
Fundersnot available
KeywordsInsulated-gate bipolar transistorJunction temperatureHeat sinkThermal conductionBipolar junction transistorElectronic engineeringThermalRepresentation (politics)Power electronicsPower semiconductor deviceTransistorPower (physics)Work (physics)VoltageComputer scienceControl theory (sociology)Electrical engineeringMaterials scienceEngineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

This work presents an electrothermal model of an insulated-gate bipolar transistor (IGBT) switch suitable for the simulation of switching and conduction losses in a large class of voltage-sourced converter (VSC)-based flexible ac transmission systems (FACTS) devices. The model is obtained by mathematical derivation of loss equations from the known submicrosecond device switching characteristics, and through the selection of appropriate differential equation parameters for representing the thermal performance. The model is useful in determining the device's heat generation, its junction temperature, as well as the cooling performance of the connected heat sinks. The model provides accurate results without recourse to an unreasonably small time step.

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: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.722

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 communication0.0000.001
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 head0.016
GPT teacher head0.238
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