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Record W2280703589

Investigations on the spatial arc resistance distribution of an axially blown switching arc

2014· article· en· W2280703589 on OpenAlexaboutno aff
Michael Weuffel, Armin Schnettler, Paul Gregor Nikolic

Bibliographic record

VenueRWTH Publications (RWTH Aachen) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicVacuum and Plasma Arcs
Canadian institutionsnot available
Fundersnot available
KeywordsArc (geometry)Circuit breakerNozzleCurrent (fluid)Arc lampAxial symmetryMechanicsElectrical engineeringMaterials scienceEngineeringMechanical engineeringMathematicsGeometryPhysics
DOInot available

Abstract

fetched live from OpenAlex

The determination of the spatial arc resistance distribution is one option to gain deeper insight into the physical processes during current interruption in high voltage circuit breakers. A measurement system capable of measuring this spatial arc resistance distribution by means of capacitive field probes is applied to a circuit breaker model equipped with a Laval nozzle geometry which has previously been investigated using optical measuring methods. According to these investigations, which serve as reference case, the spatial arc resistance distribution is determined for varying current steepness values. Comparing the results a general agreement between the determined arc resistance distributions and the results from the reference case is observed. The functionality of the measurement system is confirmed for both successful and non-successful switching operations. Uncertainties and differences in the obtained arc resistance distributions are discussed.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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