| 用神经网络预测基于气象因素的绝缘子等值附盐密度 |
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| 引用本文： | 张寒,文习山,丁辉.用神经网络预测基于气象因素的绝缘子等值附盐密度[J].高压电器,2003,39(6):31-32,35. |
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| 作者姓名： | 张寒 文习山 丁辉 |
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| 作者单位： | 武汉大学电气工程学院,湖北,武汉,430072 |
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| 摘 要： | 利用神经网络建立了温度、湿度、风速等主要气象因素与等值附盐密度之间关系的模型,并进行了现场数据拟合、迭代,验证了直接以气候数据来判断等值密度的可行性、实用性。这一方法不仅简单、有效,而且也为寻找污秽主要成因、提升绝缘子抗污闪能力提供了帮助。
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| 关 键 词： | 绝缘子 等值附盐密度 神经网络 |
| 文章编号： | 1001-1609(2003)06-0031-02 |
EXTRAPOLATION OF INSULATOR'S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK |
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| ZHANG Han,WEN Xi-shan,DING Hui.EXTRAPOLATION OF INSULATOR''''S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK[J].High Voltage Apparatus,2003,39(6):31-32,35. |
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| Authors: | ZHANG Han WEN Xi-shan DING Hui |
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| Abstract: | It is investigated to build a model that describes the relationship between climate factor and ESDD with Artificial Neural Network in the paper. Field data processing has been performed to validate the feasibility of evaluating ESDD by climate factor directly. It is an easy and effective way that can help to find the primary factor of pollution and improve the insulator's ability of anti-pollution. |
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| Keywords: | insulator ESDD neural-network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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