MétaCan
Menu
Back to cohort
Record W2165137412 · doi:10.1109/pes.2007.386288

Effect of Short-Circuit Voltage Profile on the Transient Performance of Saturated Permanent Magnet Synchronous Motors

2007· article· en· W2165137412 on OpenAlexaff
Shahram Najafi, Narayan C. Kar

Bibliographic record

VenueIEEE Power Engineering Society General Meeting · 2007
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTransient (computer programming)Synchronous motorVoltageSaturation (graph theory)Control theory (sociology)MagnetShort circuitPermanent magnet synchronous generatorTransient recovery voltageElectrical engineeringComputer scienceVoltage dividerEngineeringDropout voltageMathematics

Abstract

fetched live from OpenAlex

When permanent magnet synchronous motors are subjected to short-circuit at their terminals, the accurate calculation of the motor transient performance depends on the short- circuit voltage profile and the saturation condition of the main flux paths. In this paper, a voltage profile due to a short-circuit at the motor terminals is proposed where the motor terminal voltage requires a certain period of time to fall to zero value and, following the clearing of the fault, the terminal voltage also requires a certain period of time to recover to a post-short-circuit value. Three models of permanent magnet synchronous motors have been developed to demonstrate the effect of the main flux saturation on the determination of the transient performance of permanent magnet synchronous motors employing the proposed short- circuit voltage profile.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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 head0.005
GPT teacher head0.193
Teacher spread0.188 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Power Engineering Society General MeetingSame topicElectric Motor Design and AnalysisFrench-language works237,207