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IEEE 1349-2021 - Electric Machines in Hazardous Locations - Worldwide Applications

2022· article· en· W4385246423 on OpenAlexaboutno aff
L. Padden, P.S. Hamer, Bill Lockley, Bharat Mistry

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHazardous wasteComputer scienceAutomotive engineeringElectrical engineeringReliability engineeringEngineeringWaste management

Abstract

fetched live from OpenAlex

IEEE Std 1349-2021™ [1] “Guide for the Application of Electric Machines in Zone 2 and Class I, Division 2 Hazardous (Classified) Locations,” the third edition, has been updated for the 2020 National Electrical Code, NEC [2] and guidance has been added for the 2021 Canadian Electrical Code, CE Code [3]. The Guide has been expanded to harmonize internationally and updated for IEEE Std 841 [4] for TEFC motors and IEEE P303 [5] for auxiliary devices. Some elements from the IEC - International Electrotechnical Commission - Increased Safety standard was included. Precautions against excessive surface temperatures and sparking are covered. To mitigate hot surface temperatures and sparking, this document provides guidance for selecting, operating, and maintaining motors where flammable gases and vapors may occasionally be present.This paper provides an overview with highlights of key elements, discusses worldwide applications, includes new space heater tests and applications, and describes a new test method to determine the permanent magnet (PM) motor rotor temperature. It also details machine temperature test information along with adjustable speed drive (ASD) test configurations and provides an overview of discharge energy calculations due to common-mode voltage (CMV) for ASD applications with a link to the new IEEE 1349 Discharge Energy Calculator [6].

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.007
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.038
GPT teacher head0.347
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations1
Published2022
Admission routes1
Has abstractyes

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