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首页> 外文期刊>Energies >Transformer Paper Expected Life Estimation Using ANFIS Based on Oil Characteristics and Dissolved Gases (Case Study: Indonesian Transformers)
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Transformer Paper Expected Life Estimation Using ANFIS Based on Oil Characteristics and Dissolved Gases (Case Study: Indonesian Transformers)

机译：基于油特性和溶解气体，使用ANFIS进行变压器纸的预期寿命估算（案例研究：印尼变压器）

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This article presents an algorithm for modelling an Adaptive Neuro Fuzzy Inference System (ANFIS) for power transformer paper conditions in order to estimate the transformer’s expected life. The dielectric characteristics, dissolved gasses, and furfural of 108 running transformers were collected, which were divided into 76 training datasets and another 32 testing datasets. The degree of polymerization (DP) of the transformer paper was predicted using the ANFIS model based on using the dielectric characteristics and dissolved gases as input. These inputs were analyzed, and the best combination was selected, whereas CO + CO 2 , acidity, interfacial tension, and color were correlated with the paper’s deterioration condition and were chosen as the input variables. The best combination of input variables and membership function was selected to build the optimal ANFIS model, which was then compared and evaluated. The proposed ANFIS model has 89.07% training accuracy and 85.75% testing accuracy and was applied to a transformer paper insulation assessment and an estimation of the expected life of four Indonesian transformers for which furfural data is unavailable. This proposed algorithm can be used as a furfural alternative for the general assessment of transformer paper conditions and the estimation of expected life and provides a helpful assistance for experts in transformer condition assessment.
机译：本文介绍了一种用于对电力变压器纸件状况进行自适应神经模糊推理系统（ANFIS）建模的算法，以估算变压器的预期寿命。收集了108台运行变压器的介电特性，溶解气体和糠醛，将其分为76个训练数据集和另外32个测试数据集。基于ANFIS模型，基于介电特性和溶解气体作为输入，可以预测变压器纸的聚合度（DP）。分析了这些输入，并选择了最佳组合，而CO + CO 2，酸度，界面张力和颜色与纸张的劣化条件相关，并被选作输入变量。选择输入变量和隶属函数的最佳组合以构建最佳ANFIS模型，然后对其进行比较和评估。所提出的ANFIS模型具有89.07％的训练准确度和85.75％的测试准确度，并且被用于变压器纸绝缘评估以及对没有糠醛数据的四个印尼变压器的预期寿命的估计。该算法可作为糠醛替代品，用于变压器纸状态的一般评估和预期寿命的估计，为变压器状态评估的专家提供有益的帮助。

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