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Record W2139518051 · doi:10.1109/pica.1979.720079

A Computer Based System For EHV Line Monitoring And Control

2005· article· en· W2139518051 on OpenAlexaffabout
C.T. Nguyen, Hu Le, Y. Robichaud, K. Srinivasan, G. Santerre

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsComputer scienceSoftwareWaveformFast Fourier transformLine (geometry)Electric power systemData acquisitionReal-time computingElectronic engineeringComputer hardwareElectrical engineeringVoltagePower (physics)EngineeringOperating systemAlgorithm

Abstract

fetched live from OpenAlex

A real-time digital data-acquisition and processing system has been operating continuously since late May 78 in an Hydro-Quebec 735 kV substation. This paper describes the actual implementation and reports the operating experience. The prototype was developped in the first stage of a research project on computer-based line protection. The software is designed to accomodate (i) relaying algorithm (ii) auto verification (iii) self-evaluation and (iv) communication functions. All these functions are performed on line. Relaying algorithm consists of a one-cycle Fourier analysis and a continuous calculation of impedances. The sampling rate is controlled by the computer to synchronize to the power system frequency. Upon detection of a perturbation, five to fifty cycles of rel evant voltage and current waveform samples are "frozen" and transmitted via a phone link to IREQ main computer for permanent storage and further processing. Performances of the protection algorithm are evaluated auto matically against the actual protection system. An auto-answer modem allows the control of the remote system.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0440.015

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 head0.007
GPT teacher head0.214
Teacher spread0.206 · 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 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

Citations4
Published2005
Admission routes2
Has abstractyes

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