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Record W2886017228 · doi:10.1109/tcpmt.2018.2864595

Performance and Diagnosis of Aluminum Connectors Tested Inside MV Cable Splices

2018· article· en· W2886017228 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Components Packaging and Manufacturing Technology · 2018
Typearticle
Languageen
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsCable glandCable harnessShielded cableOverheating (electricity)EngineeringOverhead (engineering)Electrical conductorElectrical engineeringReliability engineeringStructural engineeringComputer science

Abstract

fetched live from OpenAlex

Performance of power cable connectors is usually evaluated under bare conditions as for overhead applications, such as specified in the test standards ANSI C119.4 and IEC 61238-1. Significant differences exist between the requirements of these two standards, in particular, the short-circuit current test that only becomes optional in the recent ANSI 2011 edition. Furthermore, past and recent experience with testing medium-voltage cable splices according to the standard IEEE 404 have revealed the shortcoming of the aluminum connectors tested on aluminum conductors with overheating failure. New mechanical power connectors on the market offering range-taking capability and easy installation promise better connectivity and reproducibility based on the shear-bolt technology. This paper discusses the results as obtained in an accelerated aging test on different types of cable splices with both compression and mechanical connectors. Based on the test results, a simple and effective method is also proposed to identify a degraded connector inside a cable splice.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.010
GPT teacher head0.207
Teacher spread0.196 · 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