| Autor: |
Maria Cristina Nitu, Marcel Nicola, Ancuta-Mihaela Aciu, Claudiu-Ionel Nicola |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
2019 International Conference on Electromechanical and Energy Systems (SIELMEN). |
| DOI: |
10.1109/sielmen.2019.8905847 |
| Popis: |
This paper shows a fuzzy logic-based method for determining the degree of polymerization of the solid insulation of a transformer, taking into account the 2-FAL (2-furfuraldehyde) content. The proposed method generates information on the “health” condition of the transformer, with a high precision degree. The proposed system is based on two fuzzy-type controllers, and for each input/output of them it is defined a type of membership functions, triangle and trapezoid for a better response of analysis. The obtained results were compared to the results got by classical methods applied for the same 2-FAL content. For verifying the precision and accuracy, the proposed method was applied on more than a hundred of samples subjected to verification. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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