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Record W2088130775 · doi:10.1049/cp:20020132

Partial discharges on low voltage stator windings subjected to voltage surges from adjustable speed drives

2002· article· en· W2088130775 on OpenAlexaff
M. Fenger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsStatorVoltageElectromagnetic coilElectrical engineeringPartial dischargeMaterials scienceLow voltageSurgeAutomotive engineeringEngineering

Abstract

fetched live from OpenAlex

Random wound stator windings in motors operating in industrial applications have been reported to suffer from premature failures. Although several failure mechanisms exist, some of these failures have been caused by exposure to fast rise-time voltage surges coming from inverter drives. Dissection of failed stator windings have indicated that partial discharges have been a predominate cause of the stator failure. Partial discharges may occur between turns during fast rise-time voltage surges. Voltage surges of a sufficient magnitude can result in the degradation of the organic magnet wire enamel impregnants, eventually resulting in turn-to-turn or, phase-to-phase failures. This paper discusses the specific mechanisms, and the specific conditions under which partial discharges may occur in low voltage motor surge environments. Furthermore, this paper presents the characteristics of partial discharges measured during such surge conditions. Methods used to identify which stators are at risk are presented here, allowing for an assessment of the data acquired using voltage surge measurements.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.018
GPT teacher head0.231
Teacher spread0.213 · 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
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

Citations1
Published2002
Admission routes1
Has abstractyes

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