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Record W2141438967 · doi:10.1109/pesw.2000.850137

Application of PPLP to EHV and UHV class underground and submarine cables

2002· article· en· W2141438967 on OpenAlexaboutno aff
R. Hata, Yuji Yoshino, Tetsuhide Shimizu

Bibliographic record

Venue2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) · 2002
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarineClass (philosophy)Structural engineeringElectrical engineeringPhysicsGeologyEngineeringComputer scienceMarine engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

In 1999, the bulk transmission lines from Tuas power station to Ayer Rajah and Labrador substations were commissioned in Singapore. Polypropylene laminated paper (PPLP), a new insulating material with high dielectric strength and low loss was employed to this important outgoing lines from the newly-installed most modern power station. PPLP has been developed since 1970 by Sumitomo Electric and applied to various AC 154-500 kV and DC 500 kV transmission and/or submarine cables. Furthermore, the development of AC 800 kV PPCP cables has been already completed. Not only oil-filled cable, PPLP has been also proved to be very prospective solution to solid DC submarine cables. This paper covers the present state of the application of PPLP to EHV and UHV power cables as well as the prospect of application of PPLP to solid DC submarine cables.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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 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

Citations7
Published2002
Admission routes1
Has abstractyes

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