Outdoor insulation coordination with artificial neural network

W. Sima, Qing Hu, Kunli Bai Yang, Xingliang Jiang
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引用次数: 3

Abstract

Based on the tests carried out by simulating icing conditions and low pressure in an artificial climate chamber, this paper presents a new method of outdoor insulation coordination with artificial neural network (ANN). This method employs an ANN model to map the climatic condition and the flashover voltage of an insulator. After the appropriate model is established with training and validating, it can forecast the flashover voltage of an insulator in complex ambient conditions. Then, it puts forwards that using this ANN model is helpful in studying outdoor insulation coordination and analyzing the electrical performance of insulator in complex ambient climatic conditions.
室外保温协调人工神经网络
在模拟结冰和低压条件下的人工气候室试验的基础上,提出了一种基于人工神经网络的室外保温协调新方法。该方法采用人工神经网络模型对气候条件和绝缘子的闪络电压进行映射。建立合适的模型,经过训练和验证,可以预测复杂环境条件下绝缘子的闪络电压。在此基础上,提出利用该人工神经网络模型对研究室外绝缘协调和分析复杂环境气候条件下绝缘子的电性能有一定的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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