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Record W2026634928 · doi:10.1049/ip-gtd:20030943

Discrete-Fourier-transform-based technique for removal of decaying DC offset from phasor estimates

2003· article· en· W2026634928 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

VenueIEE Proceedings - Generation Transmission and Distribution · 2003
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsUniversity of SaskatchewanWestern University
Fundersnot available
KeywordsPhasorDC biasOffset (computer science)Fourier transformAlgorithmElectronic engineeringRelayFast Fourier transformComputer scienceDiscrete Fourier transform (general)Fault (geology)Control theory (sociology)Fractional Fourier transformMathematicsFourier analysisEngineeringPhysicsVoltageElectrical engineeringElectric power systemPower (physics)Artificial intelligenceMathematical analysis

Abstract

fetched live from OpenAlex

A technique to suppress the negative effect of a decaying DC offset on phasor estimates using a digital Fourier transform algorithm is presented. The proposed technique is based on evaluation of the decaying DC component in the signal. The technique is suitable for all prevailing systems and fault conditions. The performance of the technique is evaluated in both the time and frequency domains. Simulation results showing the effectiveness of this new technique are presented. The proposed technique is further evaluated when it is used in a distance relay design.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.858

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 communication0.0000.000
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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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