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Arc-Free Bidirectional Hybrid DC Switch using Tungsten or Tungsten-clad Copper Contacts

2019· article· en· W3107170940 on OpenAlexfundno aff
Shoya Kubo, Shunsuke Sato, Yinming Huang, Koichi Yasuoka

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsnot available
FundersSwine Innovation Porc
KeywordsMaterials scienceCommutationVaristorTungstenElectrical engineeringArc (geometry)OptoelectronicsContact resistanceCurrent (fluid)VoltageShort circuitMetallurgyComposite materialEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

A hybrid DC switch has been studied intensively because of the increasing demand for photovoltaic power stations and DC power distribution systems. The hybrid DC switch, consisting of mechanical contacts, semiconductor devices, and metal-oxide varistors, has the advantages of low contact resistance, high-speed current interruption, and a short-duration arc during current commutation. Moreover, arc-free current interruption is possible if the boiling voltage of the contact material exceeds the circuit voltage needed for turning on the semiconductor devices. A combination of tungsten contacts and SiC-MOSFETs satisfies this condition. As a result, an arc-free current interruption of 220 A was achieved with two-pole-tungsten contacts for bidirectional DC switching, where two SiC-MOSFETs were connected in series. The newly developed tungsten-clad copper contacts increased the threshold current of arc-free commutation up to 260 A.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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