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Record W2076952544 · doi:10.1109/mias.2010.939652

Passive Harmonic Filter Design Scheme

2011· article· en· W2076952544 on OpenAlexaff
Xiaodong Liang, Obinna Ilochonwu

Bibliographic record

VenueIEEE Industry Applications Magazine · 2011
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsSchlumberger (Canada)
Fundersnot available
KeywordsSubseaHarmonicFilter (signal processing)EngineeringElectronic filterElectronic engineeringFilter designConstant k filterActive filterElectronic filter topologyComputer sciencePrototype filterElectrical engineeringVoltageAcousticsPhysicsMarine engineering

Abstract

fetched live from OpenAlex

In this article, a passive harmonic filter design scheme is proposed for offshore power distribution systems with subsea cables. Such an offshore system requires more reliable harmonic filters due to parallel resonance and the resultant large harmonic distortions in the system caused by subsea cables. The new passive harmonic filter design scheme is easy to achieve and more reliable compared to traditional pas sive harmonic filter design. It also offers a flexible power factor control to the offshore platform with generators. The stability, reliability, and flexibility of the offshore distribu tion system with the proposed filters are significantly improved. To avoid subfilter overloading, detuning capacitors and reactor taps should be provided for each subfilter in case detuning is required in the field.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.004

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 head0.093
GPT teacher head0.260
Teacher spread0.166 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations15
Published2011
Admission routes1
Has abstractyes

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