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Record W2136953313 · doi:10.1109/ccece.2005.1557258

Study of the apparent load loss unbalance in three-phase transformers

2006· article· en· W2136953313 on OpenAlexaff
Patrick Picher, L. Bolduc, Richard Gagnon, G. Sybille

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsTransformerElectromagnetic coilThree-phaseMechanicsControl theory (sociology)EngineeringVoltageElectrical engineeringPhysicsComputer science

Abstract

fetched live from OpenAlex

In a three-phase transformer, the load losses are generally similar between phases, with some small variations due to the proximity of the tank on lateral phases. However, when a three-phase test configuration is used, the measured active losses in each phase are significantly unbalanced and do not reflect the actual losses in each phase. To provide a physical explanation for this phenomenon, measurements were taken on small magnetically coupled reactors and the experimental results were used to validate a simulation model based on the magnetic-circuit theory. The simulation model successfully reproduced the apparent load loss unbalance in a three-phase 47-MVA transformer. It is concluded that, even if the apparent losses are unbalanced, the total load losses in the transformer are correctly obtained by the summation of losses in each phase. The authors point out that since the FRSL (frequency response of stray losses) method is based on the comparison of losses to diagnose winding displacements, the three-phase test configuration cannot be used for this purpose

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.590

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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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 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

Citations7
Published2006
Admission routes1
Has abstractyes

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