MétaCan
Menu
Back to cohort
Record W1982012763 · doi:10.1109/tpwrd.2012.2225848

Communication-Aided High-Speed Adaptive Single-Phase Reclosing

2012· article· en· W1982012763 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2012
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsWestern University
Fundersnot available
KeywordsTransmission lineTransient (computer programming)Electronic engineeringVoltageElectric power transmissionControl theory (sociology)EngineeringShunt (medical)Line (geometry)Sensitivity (control systems)GroundComputer scienceElectrical engineeringMathematics

Abstract

fetched live from OpenAlex

A new communication-aided high-speed single-phase reclosing algorithm is proposed in this paper for transposed transmission lines based on predicted and measured voltage of faulted phase. Analytical analysis based on the distributed line model is performed to derive an equation which can be used to predict the faulted phase voltage after arc extinction in case of transient faults. Error analysis is performed to determine the sensitivity of the predicted voltage to various sources of error. The performance of the proposed technique is verified for a 500-kV transmission line with and without shunt reactor and with different grounding options for several cases simulated in PSCAD/EMTDC which include detailed arc, voltage, and current transducer models and different possible errors in measurement and transmission-line parameters.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.241
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