Frequency domain spectroscopy (FDS) measurement has become an important method for the assessment of the condition of the insulation of oil transformers. In recent years, numerous researchers have found that temperature variation affect FDS results. The master curve technique is commonly used to correct the effect of temperature on FDS results. In this paper, an FDS experiment is carried out on a sample transformer. Then, for this transformer, insulation model parameters are determined by using a genetic algorithm based on the FDS results. Then, by using the insulation model parameters, tan δ curves are simulated and compared to real results. Finally, an FDS experiment is conducted on two other transformers at 22 °C, 30 °C, 40 °C, 50 °C, 60 °C, and 70 °C (in order to give sufficient information for a training neural network) and insulation model parameters are calculated via the genetic algorithm. In one of the transformers, the effect of temperature on the FDS curves is c...

中文翻译：

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基于人工神经网络的变压器绝缘FDS测量温度校正方法。

频域光谱法（FDS）的测量已成为评估油变压器绝缘状况的重要方法。近年来，许多研究人员发现温度变化会影响FDS结果。主曲线技术通常用于校正温度对FDS结果的影响。在本文中，在样本变压器上进行了FDS实验。然后，对于该变压器，使用基于FDS结果的遗传算法确定绝缘模型参数。然后，通过使用绝缘模型参数，模拟tanδ曲线并将其与实际结果进行比较。最后，在另外两个变压器上分别在22°C，30°C，40°C，50°C，60°C，温度为70°C（为了为训练神经网络提供足够的信息），并且通过遗传算法计算出隔热模型参数。在其中一台变压器中，温度对FDS曲线的影响是...