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Record W1823731006 · doi:10.1109/eeic.1995.482502

Improvements to partial discharge screening test for stator bars and coils

2002· article· en· W1823731006 on OpenAlexaff
J.C. Bromley, W. McDermid

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsManitoba Hydro
Fundersnot available
KeywordsPartial dischargeOscilloscopeInstrumentation (computer programming)StatorRepeatabilityBandwidth (computing)Materials scienceCapacitorElectrical engineeringOhmElectromagnetic coilAcousticsElectronic engineeringVoltageEngineeringPhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

In 1991 and 1992, the authors published the description of a circuit for measuring partial discharge (PD) associated with individual stator bars and coils using a commercial single channel pulse height analyzer together with a sensing system consisting of an 80 pF coupling capacitor terminated in 50 ohms at the instrumentation. The sensing system has a theoretical lower -3 dB point of 40 MHz, while the bandwidth of the instrumentation extends to 100 MHz. The advantage of such a system over measurements at lower frequency (<1 MHz) is that the response to external discharges on the end arms is reduced, rendering the system preferentially sensitive to PD in internal voids and delaminations. The purpose of this paper is to describe changes to improve the high frequency response of the circuit and the repeatability of the method.

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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.259
Teacher spread0.232 · 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
GenreMethods

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

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