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Record W1868493963 · doi:10.1109/pess.2002.1043559

A new contribution into performance of active power filter utilizing SVM based HCC technique

2003· article· en· W1868493963 on OpenAlex
Mostafa I. Marei, Ehab F. El‐Saadany, M.M.A. Salama

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 Quality and Harmonics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSupport vector machineComputer sciencePower (physics)Active filterArtificial intelligenceEngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

This paper proposes a control algorithm for shunt active power filters APF's, based on space vector modulation (SVM) and hysteresis current controller (HCC) techniques for current regulated voltage source converters (VSC), which allows precise compensation of harmonic currents produced by distorted loads. The approach is based on the direct current control in which the load current is measured, then filtering out the fundamental component. Two sets of hysteresis comparators determine the switching vector. The set with wider hysteresis band works as a region detector. Utilizing the proposed SVM based HCC technique leads to a significant reduction in the number of switching and hence the cost is reduced.

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 score0.719
Threshold uncertainty score0.541

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 head0.014
GPT teacher head0.235
Teacher spread0.222 · 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

Citations23
Published2003
Admission routes1
Has abstractyes

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