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Record W2028751831

Overload capability and dynamic behaviour of low and high voltage IGBT and ultra fast softswitching diode

2004· article· en· W2028751831 on OpenAlexaff
K. Lorenz

Bibliographic record

VenueInternational Power Electronics and Motion Control Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsInfineon Technologies (Canada)
Fundersnot available
KeywordsInsulated-gate bipolar transistorDiodeMaterials scienceElectrical engineeringFlyback diodeVoltageLow voltageOptoelectronicsHigh voltagePower semiconductor deviceEngineering
DOInot available

Abstract

fetched live from OpenAlex

By a vertical shrink of the NPT IGBT to a structure with a thin n base and a low doped field stop layer a new IGBT can be realized with drastically reduced overall losses. Especially the combination of the field stop concept with the trench transistor cell results in the almost ideal carrier concentration for a device with minimum on state voltage and lowest switching losses. This concept has been developed for IGBTs and diodes from 600 V up to 6.5 kV. This paper shows the save operation area behaviour requirements for switching characteristics for low voltage devices (600 V/1200 V) and high voltage devices (3.5 kV/6.5 kV). It will be discussed that the overall switching behaviour for inductive loads is determined by the diode and IGBT at equivalent positions. In particular at high voltage applications precautions have to be taken during turn off and turn on. During turn on the dynamic electrical field strength of the diode is important to observe and during the turn off the same situation occurs in the IGBT

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.661

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 head0.004
GPT teacher head0.202
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

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