Comparing International Standards to North American Standards for Large Adjustable-Speed Drives
Bibliographic record
Abstract
The world of legal responsibility, liability, and safety is driving the industry to have equipment built to an increasing number of standards. End users and specifiers often require adjustable-speed drives (ASDs) to be in compliance with many standards like the International Electrotechnical Commission (IEC), National Electrical Manufacturers Association (NEMA), American National Standards Institute, Canadian Standards Association, Underwriters Laboratory, etc. This is done to insure that they are protected in buying products that are built to high standards. Depending on the specifier, European and/or North American standards may be referenced and required to be met. However, what is required to meet these standards is often not understood. Sometimes, the details of the standards are in conflict with each other. This paper will attempt to compare major areas of the existing standards for similarity and differences. European IEC standards will be compared to the most applicable North American standards. The goal of this paper will be to help the readers better understand what the standards mean to their plants and how they can then include standards in their specifications that will best meet their requirement, yet do so in a cost-effective manner.
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".