| 基于BP神经网络的凝汽器的故障诊断 |
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| 引用本文： | 张仲彬,曹丽华,张少磊.基于BP神经网络的凝汽器的故障诊断[J].东北电力学院学报,2006,26(4):50-54. |
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| 作者姓名： | 张仲彬 曹丽华 张少磊 |
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| 作者单位： | 东北电力大学动力工程系 吉林吉林132012(张仲彬，曹丽华)，定州发电厂 河北定州071052(张少磊) |
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| 摘 要： | 介绍了凝汽器的故障诊断常用的三种诊断方法,BP神经网络法、模糊诊断法、模糊模式识别法。通过比较发现BP神经网络相对于另外两种诊断方法具有明显的针对性和准确性。然后,在BP神经网络诊断的基础上进行了“基于BP神经网络的凝汽器的故障诊断”系统的开发。
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| 关 键 词： | 凝汽器 故障诊断 BP神经网络 模糊诊断 模糊模式识别 |
| 文章编号： | 1005-2992（2006）04-0050-05 |
| 收稿时间： | 2005-12-25 |
| 修稿时间： | 2005年12月25 |
Condenser's Trouble diagnose Diagnosing Based on BP Neural Network |
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| ZHANG Zhong-bin,CAO Lihua,ZHANG Shao-lei.Condenser''''s Trouble diagnose Diagnosing Based on BP Neural Network[J].Journal of Northeast China Institute of Electric Power Engineering,2006,26(4):50-54. |
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| Authors: | ZHANG Zhong-bin CAO Lihua ZHANG Shao-lei |
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| Affiliation: | 1. Northeast Dianli University, Jilin City 132012, China;2. Dingzhou Electric Power Plant, Dingzhou City, Hebei Province 071052,China |
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| Abstract: | This paper introduces three kinds of commonly used diagnosis methods,which are BP neural network method,fuzzy diagnosis method and,fuzzy pattern recognition method.Through diagnosing,the result is that BP neural network is more accurate compared to other two kinds of diagnosing methods.Then we have developed the System of Condenser's Trouble Diagnosing based on BP neural network diagnosing. |
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| Keywords: | Condenser Trouble diagnosing BP neural network Fuzzy diagnosis Fuzzy pattern recognition |
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