Evaluation of Environmental Noise And Vibration Levels of Dry Type Transformers And Determination of Solution Alternatives: Istanbul Case Study
Bibliographic record
Abstract
Today, energy requirements are increasing day by day, from the devices we use at home to the complex production activities that are carried out in the industry. The need for electrical equipment is also increasing with increasing energy requirements. The use of power transformers, which can be specified as the basis of energy transmission and distribution, also increases in this scope. When it considered in the context of good electric infrastructure, location of the transformers is as important as the number of transformers. In this study; environmental noise and vibration originated by the power transformer located in the building and measures to be taken were determined in order to determine and reduce the environmental effect of the transformer on the people. When obtained data was evaluated, it was determined that the environmental noise and vibration caused by the transformer exceeded the limit values given in the Environmental Noise Assessment and Management Regulation and reduction required. In this context, by using INSUL Version 6.2 Program produced by Marshall Day Acoustics Company, insulation work was performed to reduce environmental noise and vibration in the volume where the transformer was located.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".