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Record W1758246229 · doi:10.1109/pes.2003.1267393

Evaluation of grounding system impedance of a near sea water HV electric power installation

2004· article· en· W1758246229 on OpenAlexafffundabout
F.H. Slaoui, P.J. Lagacé, X.D. Do, J. Fortin

Bibliographic record

Venue2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491) · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsPolytechnique MontréalHydro-QuébecÉcole de Technologie Supérieure
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCounterpoiseGroundSoil resistivityElectric power transmissionTransmission lineConductorElectrical conductorElectrical engineeringElectrical impedanceShieldEngineeringEarthing systemElectric power systemLine (geometry)Electric powerPower transmissionPower (physics)Marine engineeringGeologyMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Electric power transmission lines and substations located alongside salt water are frequent cases in the world. In situations where soil resistivity is high, a conductor connecting the grounding system of an electric power line to salt water can reduce substantially the grounding impedance. This deals with an already in service 69 kV transmission line belonging to Hydro-Quebec, built without shield wire neither counterpoise in a high soil resistivity and skirting the Atlantic ocean close to Labrador region in Quebec (Canada). Experimental measurements performed by Hydro-Quebec show that grounding resistance of some towers is high that in case of a short circuit on the line, a voltage rise exceeding the security limits can be developed. A continuous counterpoise connected to salt water can stabilize the potential profile. Method of images is applied to calculate the resistance to earth of different conductor arrangements. Results are validated by experimental measurements.

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)0.002
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 score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.213
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 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

Citations5
Published2004
Admission routes3
Has abstractyes

Explore more

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