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Record W2171314174 · doi:10.1109/pess.2001.969995

Wavelet transform approach to distance protection of transmission lines

2001· article· en· W2171314174 on OpenAlex

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 Systems Fault Detection
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWavelet transformWaveletElectric power transmissionFault (geology)Computer scienceDiscrete wavelet transformElectronic engineeringElectrical impedancePhasorFilter (signal processing)Lifting schemeTransmission (telecommunications)Electric power systemWavelet packet decompositionProtective relayPower (physics)EngineeringElectrical engineeringTelecommunicationsArtificial intelligenceComputer visionPhysics

Abstract

fetched live from OpenAlex

An application of wavelet transform to digital distance protection for transmission lines is presented in this paper. Fault simulation is carried out using the Power System Computer Aided Design program (PSCAD). The simulation results are used as an input to the proposed wavelet transform protection-relaying technique. The technique is based on decomposing the voltage and current signals at the relay location using wavelet filter banks (WFB). From the decomposed signals, faults can be detected and classified. Also the fundamental voltage and current phasors, which are needed to calculate the impedance to the fault point can be estimated. Results demonstrate that wavelets have high potential in distance relaying.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.363

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 head0.013
GPT teacher head0.210
Teacher spread0.198 · 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

Citations13
Published2001
Admission routes1
Has abstractyes

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