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Record W2148342402 · doi:10.1109/tpwrd.2012.2198078

High Voltage Insulators Mechanical Load Limits—Part I: Overhead Line Load and Strength Requirements

2012· article· en· W2148342402 on OpenAlexaff
A. C. Baker, R. A. Bernstorf, E.A. Cherney, R. Christman, R.S. Gorur, Rowland Hill, Z. Lodi, S.L. Marra, D. POWELL, A. E. Schwalm, D. Shaffner, G. A. Stewart, J. Varner

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2012
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsSafe Engineering Services & Technologies (Canada)
Fundersnot available
KeywordsInsulator (electricity)Overhead lineDielectric strengthMechanical loadDielectricMaterials scienceStructural engineeringLimitingElectrical engineeringEngineeringMechanical engineeringComposite material

Abstract

fetched live from OpenAlex

This paper reviews and discusses the mechanical loads that overhead lines experience as defined by applicable codes and the strength requirements for insulators that support the lines as described in ANSI, CSA, and IEC standards. Consideration of the probable occurrence of extreme weather conditions requires the insulator strength to be such that irreversible damage to the insulator does not occur at the maximum load considered. The inherent variation of the mechanical strength of the insulator dielectric material is discussed as a factor for its ultimate strength, and as a basis for limiting line loads below the damage limit for the insulator. Time-load tests suggest that reasonable damage limits for ceramic and composite insulator dielectric materials can be established. As discussed in a companion paper, the assignment of damage limits for specific insulators depends not only on the inherent mechanical strength of the dielectric, but also on the standard upon which the mechanical strength of the insulator is rated. Common line design requirements, coupled with insulator manufacturers' recommendations that the maximum load not exceed the routine proof test load each insulator is subjected to has, in general, given good field experience.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.006

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 head0.025
GPT teacher head0.252
Teacher spread0.227 · 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 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

Citations22
Published2012
Admission routes1
Has abstractyes

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