| 基于BP神经网络的绝缘子表面污秽预测方法 |
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| 引用本文： | 付家才,王向琴.基于BP神经网络的绝缘子表面污秽预测方法[J].黑龙江科技学院学报,2007,17(4):282-284. |
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| 作者姓名： | 付家才 王向琴 |
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| 作者单位： | 黑龙江科技学院,电气与信息工程学院,哈尔滨,150027 |
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| 摘 要： | 针对传统方法清扫绝缘子污秽的弊端,提出了利用BP神经网络预测绝缘子污秽的方案.通过BP神经网络的输入、输出和参数的选取,在实验室进行数据验证.结果表明:该方法可以准确有效的预测绝缘子表面污秽程度,可以指导现场绝缘子的清扫和优化绝缘子的清扫周期.
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| 关 键 词： | 绝缘子 污秽预测 BP算法 人工神经网络 神经网络预测 绝缘子表面污秽 预测方法 BP neural network based severity pollution 周期 优化 指导 污秽程度 结果 数据验证 实验室 选取 参数 输出 输入 方案 利用 |
| 文章编号： | 1671-0118（2007）04-0282-03 |
| 修稿时间： | 2007-04-14 |
Prediction of pollution severity of insulators based on BP neural network |
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| FU Jiacai,WANG Xiangqin.Prediction of pollution severity of insulators based on BP neural network[J].Journal of Heilongjiang Institute of Science and Technology,2007,17(4):282-284. |
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| Authors: | FU Jiacai WANG Xiangqin |
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| Institution: | College of Flectric and Information Engineering, Heilongjiang Institute of Science and Technology, Harbin 150027, China |
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| Abstract: | Aimed at the insulators-clearing defects of the conventional methods, the paper introduces a new method of using the BP neural network to predict the pollution severity of insulators. Selecting inputs, outputs and parameters of the BP neural network makes it possible to prove the data in experiments. The results show that the method, capable of more accurate prediction of the pollution severity of insulators, permits effectively guiding the insulators cleaning and optimizing the cleaning cycles of insulators. |
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| Keywords: | insulator pollution degree prediction BP algorithm artificial neural network |
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