Development of Matrix Based Single Equation to Compute OC-SC Tests Parameters for 1-Phase Transformer
Bibliographic record
Abstract
Transformer is an efficient asset, which is used mainly to step up-step down voltage levels in a power system and it is necessary to find its performance parameters such as efficiency and voltage regulation.These OC-SC tests are very effective in finding the regulation and efficiency of a transformer at any load (without loading the transformer) under any power factor condition.Previously, OC and SC experiments were conducted to obtain the excitation and core components of 1-phase transformer using more equations.For that in the proposed method, first TWO matrices based equations are developed separately to obtain excitation resistance(R0) and reactance (X0), primary equivalent core resistance (R01) and reactance (X0) for 1-phase transformer these tests.Then combined these TWO matrices based equations are reduced to SINGLE equation, which is sufficient to obtain OC-SC test results.Further, conventional and newly developed equations for OC-SC tests are compared taking experimental data.The proposed, a single equation contains unit matrix (having 0 and 1) of 4*4 order.The reading of OC-SC tests is easily fix to compute parameters like R0 plus X0, (excitation components) R01 plus X01(core components).The developed Single matrix based equation easy to obtain R0, X0, R01 and X01 in the MATLAB format.Calculation time of students, on these R0, X0, R01 and X01 is compared to previous relations and plotted the efficiency versus % load and power factor versus regulation for 1-phase transformer to validate the result.Overall the single matrix equation based procedure results are very effective for OC-SC tests.
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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".