HARMONICS CALCULATION AND ANALYSIS OF YUEBEI AREA NETWORK IN GUANGDONG PROVINCE
Bibliographic record
Abstract
Taking both electric trailer and arc furnace of Yuebei area network in Guangdong province for example, the harmonics calculation software CHP and calculation results are presented in this paper. The CHP harmonic program of power system is imported from CYME Co. of Canada. The application of CHP includes the following steps. (1) Collecting and analyzing the parameters of the supply pool, the operation state of non linear load and the background harmonic, etc. (2) Forming the network data files (NDF), the harmonic current resource files (TBL) and foundation voltage files (FVI). (3) Designating the common connection points and interested survey points in supply pool. Then carrying out the calculation and analysis. The result of calculation and analysis should be contrasted to the critical value in the Harmonic Guide of China GB/T 14549 93. If the contrasted result exceeds the specified value in the Guide, the improvement measures should be put forward and the calculation, analysis and result examination should be carried out again on the basis of the measures. The two calculation examples in this paper show all the above mentioned steps.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".