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高压电器  2015 

基于广义回归神经网络的油纸绝缘变压器的寿命预测

, PP. 125-130

Keywords: 广义回归神经网络,油纸绝缘变压器,寿命预测

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Abstract:

文中基于广义回归神经网络(GRNN)技术挖掘数据变化规律,构建了GRNN神经网络预测模型,运用该模型对油纸绝缘变压器进行寿命预测。将变压器绝缘纸老化过程中生成的特征产物如糠醛、CO2和CO的质量分数,以及相关时间参量作为模型输入。将所采集的多组油纸绝缘变压器的测试样本作为基础数据,运用该模型对相应的变压器进行寿命预测。结果表明,模型寿命预测的输出值与实际值基本一致,从而验证了模型的合理性,这对监测绝缘材料老化状态的进一步研究具有现实意义。

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