Impact of Voltage Waveform on the Losses and Performance of Energy Efficiency Induction Motors
Bibliographic record
Abstract
This paper analyzes the effects of voltage harmonic distortion on the losses and efficiency of energy efficient induction motors (EEIM). Preliminary studies show that when fed with distorted voltages the new EEIM have a greater impact on efficiency than standard induction motors. Therefore, in this work a more precise steady state equivalent circuit is used to quantify accurately the impact of the distorted voltage waveform on losses and efficiency of induction motor. The model is validated using two induction motors both of 5.5kW, 50Hz, four poles; one is class IE3 Premium efficiency and the other is class lE1 standard efficiency. The analysis of the results may lead to infer that the EEIM are a good alternative to reduce energy consumption, but the margin is lower under fed with distorted voltages compared with ideal supply conditions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".