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Journals / Journal of Engineering Technology and Applied Sciences / 2022 / Cilt: 7 - Sayı: 2

Definition of Faults and Efficiency in Power Transformers Using the Algorithm and Computer Program Created by the Heuristic Optimization Methods Developed

Mehmet ZİLE
Pages
79–95
Publication Date
2022-10-19
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The transformer analyses programs have been created by using Microsoft SQL Server 2017 database.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The real-life optimization problems are too complex to be solved by developing a mathematical formula.
📊
Key Findings & Data:Heuristic methods are the methods defined to decide the best of a variety of solution actions to solve a problem.
💡
Conclusion & Impact:The transformer analyses programs have been created by using Microsoft SQL Server 2017 database.
🔬Design:Modeling & Simulation
📍Scope:2017 Verileri
⚙️Variables:Heuristic algorithms · optimization methods · transformer analyses

Abstract

The real-life optimization problems are too complex to be solved by developing a mathematical formula. Heuristic methods are the methods defined to decide the best of a variety of solution actions to solve a problem. Furthermore, it is preferred that heuristic methods are short in solution time and can be applied to different problems. Heuristic methods were developed while trying to find the best solution. The created algorithm, which was based on herd intelligence, was used to solve optimization problems based on the behaviors of bees moving in nature in the process of finding nutrients. By the studies, transformer failures allow us to know without any measurements and tests. The software was developed in C++ programming language by using the created artificial algorithms. The transformer analyses programs have been created by using Microsoft SQL Server 2017 database.

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Cite This Article

ZİLE, M. (2022). Definition of Faults and Efficiency in Power Transformers Using the Algorithm and Computer Program Created by the Heuristic Optimization Methods Developed. Journal of Engineering Technology and Applied Sciences, Cilt: 7 - Sayı: 2, 79–95. https://ajindex.com/articles/562793

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