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Record W144420256

Assessment of Soil Resistivity on Grounding of Electrical Systems: A Case Study of North-East Zone, Nigeria

2011· article· en· W144420256 on OpenAlexvenueno aff
Gabriel A.Adegboyega, Kehinde O. Odeyemi

Bibliographic record

VenueJournal of academic and applied studies · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsSoil resistivityGroundOhmElectrical resistivity and conductivityTowerEarth (classical element)Transmission lineElectrodeGeotechnical engineeringElectrical engineeringGeologyMining engineeringEngineeringCivil engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Electricity is dangerous and required proper grounding to prevent unwanted voltage from passing through personnel, critical equipment and other nearby metallic objects. This paper presents the impact of soil resistivity on earth electrode grounding by carrying out extensive measurement of tower footing earth electrode resistance and soil resistivity along the 330kV transmission line between Jos and Gombe in the North-East zone of Nigeria, using the Fall-of-Potential method and Wenner Array method. The study revealed that the values of earth electrode resistance range from 0.3 to 20 Ohms while the soil resistivity ranges from 60 to 1000 Ohm-m. The results confirmed that the values of earth electrode resistance have great impact on the types of soil in which the earth mat was grounded; hence effort should be made to improve soil resistivity for effective grounding of systems.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.040
GPT teacher head0.297
Teacher spread0.257 · 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 designObservational
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

Citations19
Published2011
Admission routes1
Has abstractyes

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