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Record W3160060689 · doi:10.1109/tpwrd.2021.3078767

Investigation on the Implementation of the Single-Sheath Bonding Method for Power Cables

2021· article· en· W3160060689 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2021
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsUniversity of Alberta
FundersCanada First Research Excellence FundNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsAmpacityWire bondingMaterials scienceAnodic bondingConductorElectrical conductorComputer scienceMechanical engineeringComposite materialEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Sheath bonding is an essential requirement for transmission and distribution cables. Three bonding methods are widely used in industry at present: solid bonding, single-point bonding, and cross bonding. The latter two are for solving the ampacity reduction problem caused by solid bonding. This paper presents an in-depth investigation of a new cable sheath bonding method called single-sheath bonding. The new method uses one of the cable sheaths as the return path for the fault current and thus eliminates the need for the ground continuity conductor (GCC). In this paper, various configurations to implement the single-sheath bonding method are proposed. Their performances are comprehensively evaluated and compared with those of the existing bonding methods through simulation and sensitivity studies. The results show that single-sheath bonding can achieve a similar performance of either single-point bonding or cross bonding with a lower cost. Therefore, single-sheath bonding can be an alternative to single-point bonding and cross bonding. The potential applications of the single-sheath bonding method are also clarified in the paper.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.700
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.258
Teacher spread0.229 · 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