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Record W1755645566 · doi:10.1109/ccece.2000.849602

A smart PWM switched power filter for single phase nonlinear loads

2002· article· en· W1755645566 on OpenAlexaff
Adel M. Sharaf, Caixia Guo, Hongwei Huang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsInrush currentPulse-width modulationControl theory (sociology)Duty cycleEngineeringWaveformFilter (signal processing)Electronic engineeringComputer scienceVoltageElectrical engineering

Abstract

fetched live from OpenAlex

The paper presents a novel single smart filter and energy miser for single phase motorized and inrush type cyclical loads such as air-conditioning blowers, refrigerator and water-pumping applications. The smart filter is a tuned-arm single-phase filter equipped with a pulse width modulation (PWM) triggering circuit and a novel dynamic RMS current tracking controller. The smart filter/energy miser ensures supply power quality enhancement, less source current/load voltage waveform modulation as well as enhanced electric energy efficiency for cyclical, inrush type nonlinear motorized loads. The PWM switching scheme establishes a dynamic on-line varying duty cycle ratio /spl alpha/ that modulates the apparent smart filter impedance to provide an effective compensating filter current level to cope with load current waveform distortion.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.998

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)0.0030.000

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 head0.061
GPT teacher head0.266
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

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