MétaCan
Menu
Back to cohort
Record W2120637238 · doi:10.1109/elinsl.2000.845550

Accelerated aging and diagnostic testing of 115 kV Type U bushings

2002· article· en· W2120637238 on OpenAlexaff
J.M. Braun, R.J. Densley, H.G. Sedding, V. Biksa, Chuck Yung, Thomas Bialek, A. Nothelfer, R S Sharp

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsHydro One (Canada)Ontario Power Generation
Fundersnot available
KeywordsBushingAccelerated agingDiagnostic testStructural engineeringMaterials scienceForensic engineeringEngineeringComposite materialMedicineVeterinary medicine

Abstract

fetched live from OpenAlex

Type U bushings have exhibited a poor record of performance in the US and provided utilities with a major asset replacement problem. Causes of failure in Type U bushings are reviewed and diagnostic test results presented following an accelerated aging program performed on six 115 kV Type U bushings retrieved from the field after up to 20 years of service. The six bushings represented three broad classes with two bushings each characterized by low, medium and high dissipation factors. Accelerated aging consisted of a combination of normal line to ground voltage superimposed on increasing load current, i.e., increasing bushing temperature. All diagnostic tests were consistent with one another and showed that the six bushings could be grouped into three categories. The two bushings with the highest dissipation factors failed during accelerated aging. The program also demonstrated the usefulness of the bushing tap connection for performing a wide range of diagnostic measurements. The dissections demonstrated that the failures observed were both principally due to thermal aging.

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: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.585

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)0.0010.000

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 head0.030
GPT teacher head0.214
Teacher spread0.185 · 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

Citations6
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicThermal Analysis in Power TransmissionFrench-language works237,207