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Record W2202778189 · doi:10.1109/tdc.2001.971272

Application of wavelet transform for assessing power quality in medium voltage industrial distribution system

2002· article· en· W2202778189 on OpenAlex
Ehab F. El‐Saadany, T.K. Abdel-Galil, M.M.A. Salama

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
TopicPower Quality and Harmonics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCapacitorTransient (computer programming)Wavelet transformPower qualityWaveletVoltageTransient voltage suppressorElectronic engineeringDecoupling capacitorQuality (philosophy)Computer scienceSwitched capacitorPower (physics)Reservoir capacitorElectrical engineeringEngineeringArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

The increasing weight of power quality in the deregulated era has called attention to the importance of identifying the source of power quality problem when it arises. This paper focuses on capacitor switching events. Capacitor switching transient depends on capacitor location, load type, load level, voltage level and instant of switching. The effect of these factors on capacitor transient is thoroughly examined using wavelet and fast Fourier transforms. Based on this assessment features, which could be used in identifying the location of the capacitor which initiate the transient is nominated.

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)0.001
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: none
Teacher disagreement score0.921
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.058
GPT teacher head0.284
Teacher spread0.227 · 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

Citations15
Published2002
Admission routes1
Has abstractyes

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