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Record W2135241897 · doi:10.1109/ccece.1996.548054

A new frequency measurement algorithm in the presence of harmonics using instantaneous phasor quantities

2002· article· en· W2135241897 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhasorHarmonicsTrigonometric functionsSampling (signal processing)SIGNAL (programming language)AlgorithmFault (geology)Harmonic analysisComputer scienceVoltageHarmonicElectronic engineeringPhase angle (astronomy)Power (physics)Electric power systemMathematicsEngineeringAcousticsElectrical engineeringTelecommunicationsDetector

Abstract

fetched live from OpenAlex

The frequency is an important parameter for monitoring, control and protection of power systems. This paper describes an algorithm for frequency measurement from estimates of voltage and current phasors. The cosine of the sampling angle, the angle between phasors estimated at two consecutive sampling instants, is calculated from three and five consecutive real components of phasors. The information is then used to estimate the frequency. The algorithm was implemented on a TMS320C26 digital signal processor of a digital fault recorder, and is described in this paper. Results from tests conducted by using simulated data are also presented.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.369

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 head0.068
GPT teacher head0.236
Teacher spread0.167 · 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

Quick stats

Citations7
Published2002
Admission routes1
Has abstractyes

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