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Record W3157739620 · doi:10.15866/iree.v16i2.16839

Analysis of the Design Calculations for Electrical Earthing Systems

2021· article· en· W3157739620 on OpenAlexaff
Yousef Al-Shawesh, Siow Chun Lim, Mutaz Nujaim

Bibliographic record

VenueInternational Review of Electrical Engineering (IREE) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueNational Research Council Canada
FundersMultimedia University
KeywordsGroundEarthing systemReliability engineeringEngineeringHazardComputer scienceElectrical engineering

Abstract

fetched live from OpenAlex

Earthing systems play an essential role in electrical systems in terms of safety for people in the vicinity against the hazard of electric shocks as well as protection and proper operation of equipment during the incidence of faults. Both are achieved by providing a low-impedance path that can dissipate fault currents to the conductive mass of Earth. One of the first steps in the design of an earthing system is estimating the total resistance to earth and determining the proper size and basic layout of the earth electrode required. Engineers must design adequate earthing systems that comply with international standards and national regulations, which in fact incorporate a variety of earthing methods and various formulae to obtain the design parameters, especially the earthing resistance. The effects of using the varied formulae for each earthing technique are ambiguous and entail considerable risks, and thus require comprehensive compilations and critical examinations. This paper reviews many of the earthing design formulae available in widely used international standards and published scientific papers for a comparative analysis of their differences. The results of a rigorous survey for each earthing type, based on respective electrical resistances’ calculations evaluated for a specified range of resistivities, are presented in line graphs to show precise trends. A recommended list of the most conservative formulae from a safety perspective, based on the results obtained, is outlined as a basis for computing the earthing resistance for designing effective earthing systems. This provides a beneficial compact reference to facilitate the revision and provision of international earthing standards agreement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.250
Teacher spread0.240 · 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.

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

Citations11
Published2021
Admission routes1
Has abstractyes

Explore more

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