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Record W2148913428 · doi:10.1109/pcicon.2011.6085861

Do not mix the requirements of hazardous location areas when you order motors

2011· article· en· W2148913428 on OpenAlexaffabout
Bharat Mistry, W. G. Lawrence

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrical Fault Detection and Protection
Canadian institutionsGeneral Electric (Canada)
Fundersnot available
KeywordsHazardous wasteCertificationConfusionStandardizationOrder (exchange)Computer scienceEngineeringBusinessWaste managementLaw

Abstract

fetched live from OpenAlex

Although the processes and types of gases are the same in refineries around globe; the design and installation of the electrical equipment will vary in order to comply with the selected installation requirements. There are essentially two major systems of installation requirements for hazardous areas commonly found in the oil and gas industry. The first is the North American system with hazardous area installations in accordance with either the National Electric Code®(NEC®)ANSI/NFPA70 [1] for the USA; or the Canadian Electric Code (CEC) CSA C22.1 [2] for Canada. The second is based on European or International codes and standards for the installations of concern. In Europe, the hazardous area installations are in accordance with HD 60364 and EN 60079-14[8]; and in many other parts of the world are in accordance with HD 60364 and IEC 60079 14[[8]. The European standards are essentially identical to the I EC standards. It is very confusing when one mixes the requirements or definition of hazardous areas since the systems vary to a degree in terms of design, third party certification requirements, marking etc. The authors will compare the "systems" and provide key differences between them to avoid confusion when selecting one versus other for the installation of electrical motors.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.230
Threshold uncertainty score0.769

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.2300.223

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 head0.033
GPT teacher head0.237
Teacher spread0.204 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2011
Admission routes2
Has abstractyes

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