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Record W2115166720 · doi:10.1109/tpwrd.2013.2253497

A Saturation Suppression Approach for the Current Transformer—Part II: Performance Evaluation

2013· article· en· W2115166720 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 · 2013
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsResistorRelayTransformerCurrent transformerDigital controlEngineeringElectronic engineeringReal Time Digital SimulatorProtective relayVoltageElectric power systemControl engineeringComputer scienceElectrical engineeringControl theory (sociology)Control (management)Power (physics)

Abstract

fetched live from OpenAlex

Part I of this two-part paper introduces a hardware-based mechanism to prevent/suppress the saturation phenomenon of the current transformer (CT). The mechanism includes an electronically switched resistor which is in series with the CT secondary winding. Part II performs a set of 1) offline digital time-domain simulation studies in the PSCAD/EMTDC environment and 2) control-hardware-in-the-loop (CHIL) test cases in a real-time digital simulation platform, to demonstrate technical feasibility of the proposed approach. The investigations also report the effect of CT saturation and the proposed desaturation mechanism on a digital distance relay. The digital algorithms of the relay and the control of the electronic switch are implemented in two NI-CRIO platforms for the CHIL studies. The investigation results demonstrate and verify the effectiveness of the proposed CT desaturation mechanism.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score0.753

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 studies0.0010.000
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 head0.020
GPT teacher head0.237
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