IEEE 1349-2021: Electric Machines in Hazardous Locations: Worldwide Applications
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Bibliographic record
Abstract
IEEE Standard 1349-2021, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Guide for the Application of Electric Machines in Zone 2 and Class I, Division 2 Hazardous (Classified) Locations</i>, 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 (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">NEC</i>), 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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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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 it