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Record W2110534803 · doi:10.1109/elinsl.2006.1665326

Condition Assessment of Rotating Machine Winding Insulation by Analysis of Charging and Discharging Currents

2006· article· en· W2110534803 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicBelt Conveyor Systems Engineering
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsElectrical engineeringTransient analysisMaterials scienceEnvironmental scienceMechanical engineeringEngineeringNuclear engineeringAutomotive engineering

Abstract

fetched live from OpenAlex

In order to assess winding insulation condition, a field instrument measuring the charge and discharge current of rotating machine stator winding insulation under DC high-voltage was developed at Niroo Research Institute (NRI). This method that is known as PDCA (polarization and depolarization current analysis) was applied on the stator winding insulation of an 87 MW gas-turbine generator and results were compared with on-line partial discharge (PD) measurements. The results obtained from the presented method were found to be very compatible with partial discharge measurements and visual inspection of end-windings and the ability of the PDCA in assessing the condition of the ground-wall insulation was validated.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.563

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 head0.005
GPT teacher head0.236
Teacher spread0.231 · 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

Quick stats

Citations12
Published2006
Admission routes1
Has abstractyes

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