IEEE 1349-2021: Electric Machines in Hazardous Locations: Worldwide Applications
Bibliographic record
Abstract
IEEE Standard 1349-2021,IEEE Guide for the Application of Electric Machines in Zone 2 and Class I, Division 2 Hazardous (Classified) Locations, primarily focuses on techniques and tools to limit motor overtemperature and sparking that could ignite flammables. The emphasis is on the use of open or nonexplosionproof enclosed or nonflameproof enclosed machines including precautions against excessive surface temperatures and sparking of rotor bars and enclosure joints. To mitigate hot surface temperatures and sparking, this document provides guidance for selecting, operating, and maintaining electric machines where flammable gases and vapors may occasionally be present. The third edition has been updated for the 2020 National Electrical Code (NEC), and guidance has been added for the 2021 Canadian Electrical Code (CE Code). The guide has been expanded to harmonize internationally and has been updated for IEEE Standard 841 for totally enclosed fan cooled (TEFC) motors and IEEE P303 for auxiliary devices. Some elements from the International Electrotechnical Commission (IEC) Increased Safety standard are included. This article 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. Machine temperature test information has been summarized along with adjustable speed drive (ASD) test configurations. An overview and uniform resource locator link are provided for the inaugural IEEE 1349 Discharge Energy Calculator used to prevent incendive sparking due to common-mode voltage (CMV) for ASD applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.070 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".