变压器油剩余运行时间的非线性新模型

M. Wahab, M. Hamada, A.A.A. El Tallawy, G. Ismail
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引用次数: 2

摘要

本文的目的是利用非线性多变量回归技术(nlm)预测变压器油特性的剩余运行时间(ROT)。该技术依赖于各种变压器油特性的非线性模型和这些非线性模型的线性组合。研究的特性是油的击穿电压、总酸度和含水量。通过验证对ROT影响较大的油品特征,并给出比以往建模技术更准确的预测结果,证明了该技术的准确性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new non-linear model for transformer oil residual operating time
The purpose of this paper is to implement non-linear multivariable regression technique (nlm) for the prediction of the residual operating time (ROT) of the transformer oil characteristics. This technique depends on non-linear models for each transformer oil characteristic and linear combination of these non-linear models. The characteristics under study are the oil breakdown voltage, total acidity and water content. The proposed technique has proved its accuracy and applicability by justifying the oil characteristics which have a strong impact on ROT and by giving more accurate predicted results than those obtained by previous modeling techniques.
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