MétaCan
Menu
Back to cohort
Record W1498290481 · doi:10.1049/cp.2010.0236

Using a real time digital simulator to affect the quality of IEC 61850 GOOSE and sampled value data

2010· article· en· W1498290481 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 and Technologies
Canadian institutionsRTDS Technologies (Canada)
FundersAreva
KeywordsIEC 61850GooseComputer scienceAffect (linguistics)Value (mathematics)Quality (philosophy)Real-time computingSimulationEngineeringAutomationPsychologyCommunication

Abstract

fetched live from OpenAlex

Testing IEC 61850 devices is a critical part of any substation automation scheme. Many IEDs have been installed and configured to provide status and control via GOOSE messages. IEDs can also be configured to listen to sampled value data. An important part of IEC 61850 data being transmitted can be the test and quality information. Real time digital simulation using a closed loop environment was done with IEDs to test their behaviour during abnormal system conditions. An RTDS Simulator was used to dynamically change the quality of data being transmitted to IEDs that can accept GOOSE and/or sampled values (SV) messages. The purpose of this work was to show how some IEC 61850 compliant IEDs react to abnormal IEC 61850 data and how to create these conditions. (5 pages)

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.235

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 head0.063
GPT teacher head0.326
Teacher spread0.264 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicPower Systems and TechnologiesFrench-language works237,207