Interaction of Transformer Oil Parameters on Each Other and on Transformer Health Index Using Curve Estimation Regression Method

نویسندگان

چکیده

Power transformers are one of the most significant and expensive equipment in power systems that exposed to electrical, thermal, chemical tensions. The transformer health index is a measure uses test data field inspections assess condition determine remaining life transformer. purpose this article as new idea relationships between physical, parameters oil, dissolved gases, index. One advantages using regression method analyzing compared other methods evaluate determining influence have impact on each other. Some achievements follows: (1) introducing moisture content parameter plays an effective role reducing dielectric oil breakdown voltage improving index; (2) inverse relationship acidity furfural components; (3) with greatest Interfacial tension (IFT) (molecular interconnection); (4) CO gas production component; (5) C2H2 producing acid component. For example, 1 ppm increase component, decreases by 0.583 kV compound, growth, exponential, logistic regressions, or interfacial 0.644 mN/m regression. In article, curve estimation used results plotted SPSS statistical software analyze interaction different parameters. To perform simulations, related 120 been considered.

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ژورنال

عنوان ژورنال: International Transactions on Electrical Energy Systems

سال: 2022

ISSN: ['2050-7038']

DOI: https://doi.org/10.1155/2022/7548533