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Record W1992479823 · doi:10.1002/etep.4450120109

Performance of sequence directional elements on MOV protected series compensated transmission lines

2002· article· en· W1992479823 on OpenAlexaff
A.T. Funk, O.P. Malik

Bibliographic record

VenueEuropean Transactions on Electrical Power · 2002
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsProfessional Engineers OntarioUniversity of Calgary
Fundersnot available
KeywordsCapacitorElectrical impedanceTransmission lineEquivalent impedance transformsOutput impedanceQuarter-wave impedance transformerElectric power transmissionSeries (stratigraphy)Impedance bridgingImage impedanceSequence (biology)Coupling (piping)Time domainVoltageElectrical engineeringEngineeringInput impedanceComputer scienceDamping factorChemistry

Abstract

fetched live from OpenAlex

Abstract Performance of positive and negative sequence directional elements applied to MOV (metal oxide varistor) protected series compensated transmission lines with the relay voltages measured at the line side of the capacitors is investigated in this paper. Both elements basically measure the negative of the equivalent impedance behind the relay for forward faults and the line impedance plus the impedance of the remote source for reverse faults. During faults, the equivalent impedance of MOV/series capacitor combination is generally different for each of the three phases, causing mutual coupling of the sequence components, which may affect accurate impedance measurement. Simulation results indicate that mutual coupling in the sequence domain does not significantly affect the performance of the sequence directional elements on loaded systems.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.016
GPT teacher head0.210
Teacher spread0.194 · 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 designSimulation or modeling
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

Citations8
Published2002
Admission routes1
Has abstractyes

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