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Record W2952008697 · doi:10.1109/citcon.2019.8729110

Arc Flash – IEEE 1584-2018, NFPA 70E 2018, & OSHA Final Rule Highlights and Arc Flash Mitigation Technologies

2019· article· en· W2952008697 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Fault Detection and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsArc flashSwitchgearHazardEngineeringArc (geometry)Forensic engineeringReliability engineeringFlash (photography)Fault (geology)Risk analysis (engineering)Electrical engineeringMechanical engineeringBusinessVoltage

Abstract

fetched live from OpenAlex

According to NFPA 70E, arc flash incidents occur five to ten times each day. The occurrence of an arc flash is the most serious fault within a power system. The destructive impacts of an arc flash event can lead to severe injuries of operating personnel, costly damage of the switchgear, and to long outages of the system. Active arc elimination systems can mitigate the above-named consequences. They extinguish an internal arc by redirecting the uncontrolled energy release into a defined and controlled bolted connection of all 3 phases to earth potential. Arc elimination devices are designed to detect and quench a of protection for personnel and equipment. This paper encompasses the highlights of OSHA's Final Rule (forecasted to save 20 lives annually) that became a law in July, 2014 and a general overview of different arc flash protection devices available on the market. The Final Rule introduced new language, methods of calculations, and deadlines. Also included are the highlights of the changes in IEEE 1584-2018 which is the Guide for Performing Arc-Flash Hazard Calculations and NFPA 70E 2018 which is Standard for Electrical Safety in the Workplace. A portion of this paper was presented at IEEE PCIC Technical Conference in 2017 at Calgary, Alberta.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.998

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)0.0000.003

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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