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Record W2060150115 · doi:10.1049/ip-gtd:20041198

Extraction of signals for harmonics, reactive current and network-unbalance compensation

2005· article· en· W2060150115 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 · 2005
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRobustness (evolution)HarmonicsAC powerControl theory (sociology)Electronic engineeringComputer scienceHarmonicNonlinear systemCompensation (psychology)Electric power systemDigital signal processingSignal processingEngineeringPower (physics)VoltageElectrical engineering

Abstract

fetched live from OpenAlex

A nonlinear signal processing system for the simultaneous extraction of harmonic, reactive current and instantaneous symmetrical components is presented. The building block of the proposed system is an enhanced phase-locked which provides accurate and synchronised extraction of the desired signals. The behaviour of the system is demonstrated by means of simulation case studies. The algorithm adopted for the system is frequency-adaptive, immune to noise, and robust with respect to external disturbances and setting of the internal parameters. The proposed system can be used as the reference generator of FACTS and custom power controllers, e.g. an active power filter. Structural simplicity and robustness furnish the proposed system with ease of implementation and tuning on hardware/software platforms.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.597
Threshold uncertainty score0.518

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 head0.035
GPT teacher head0.282
Teacher spread0.247 · 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