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Record W2770762229 · doi:10.1049/oap-cired.2017.1282

Integrated asset monitoring, personnel safety, and reliability with next generation protection relays for distribution networks

2017· article· en· W2770762229 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

VenueCIRED - Open Access Proceedings Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicElectrical Fault Detection and Protection
Canadian institutionsGeneral Electric (Canada)
Fundersnot available
KeywordsReliability (semiconductor)SAFERReliability engineeringAsset (computer security)EnablingEngineeringFlash (photography)Computer scienceRisk analysis (engineering)Computer securityBusiness

Abstract

fetched live from OpenAlex

The next generation digital protection relays can be designed to further enhance asset performance monitoring, personnel safety, and reliability in a distribution substation. Integrated features can be applied as an enabler tool to further reduce damage to distribution substation assets, arc-flash hazards/accidents, undetected hardware failures, human errors etc. This study proposes integrated asset performance monitoring and diagnosis, arc-flash protection, ambient environmental monitoring, simple and intuitive configuration, safer HMI communications, instantaneous setting group change etc. enhance overall safety and provide reliable operation.

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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0070.005
Open science0.0010.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.327
Teacher spread0.245 · 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