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Record W2103845435 · doi:10.1109/oceans.2007.4449349

An Analysis of Sub Sea Electric Power Transmission Techniques from DC to AC 50/60 Hz and Beyond

2007· article· en· W2103845435 on OpenAlexaff
Michael Wrinch, Marcelo A. Tomim, José R. Martí

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsElectrical engineeringPower electronicsTransmission systemTransmission (telecommunications)Power transmissionVoltageTransient (computer programming)Alternating currentElectric power systemElectric power transmissionPower engineeringPower (physics)EngineeringComputer sciencePower factorPhysics

Abstract

fetched live from OpenAlex

In the past decade, the significant improvements in high speed, high voltage transistor technology enabled the design of more sophisticated sub sea electrical power transmission systems. This is the case of the power-electronics-based single wire DC and high frequency AC transmission systems that appeared as alternatives to the traditional three phase transmission systems. Although such advanced alternatives have been employed on a scenario basis, no thorough study comparing these different options has been carried out. This paper aims to examine 50/60 Hz AC, DC and high frequency AC electrical transmission systems regarding their technical and financial advantages and drawbacks, through steady-state and transient analysis of a 10 km, 100 kVA ROV.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0000.001
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 head0.004
GPT teacher head0.228
Teacher spread0.224 · 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 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

Citations8
Published2007
Admission routes1
Has abstractyes

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