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Record W2095275259 · doi:10.1109/tia.2013.2291936

Frequency Response Analysis for Phase-Shifting Transformers in Oil Field Facilities

2014· article· en· W2095275259 on OpenAlexaff
Xiaodong Liang, Ahmed El-Kadri, John Stevens, Rotimi Adedun

Bibliographic record

VenueIEEE Transactions on Industry Applications · 2014
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsSchlumberger (Canada)
Fundersnot available
KeywordsTransformerTroubleshootingEngineeringCurrent transformerDistribution transformerElectrical engineeringFrequency responseElectronic engineeringComputer scienceReliability engineeringVoltage

Abstract

fetched live from OpenAlex

Phase-shifting transformers for variable frequency drives (VFDs) are usually specialty designed, and their applications become more common in oil field facilities. The frequency response analysis (FRA) method has been recognized as a useful maintenance tool for transformers; however, very limited work has been done on phase-shifting transformers for maintenance and troubleshooting using the FRA method. In this paper, the FRA baseline measurement is conducted on a healthy delta-polygon-polygon winding phase-shifting transformer for a 12-pulse VFD system in a laboratory. The test data are presented and analyzed, which could serve as the baseline reference and provide valuable information for the maintenance of phase-shifting transformers with similar design.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score0.848

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 head0.018
GPT teacher head0.267
Teacher spread0.248 · 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
Published2014
Admission routes1
Has abstractyes

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