| 基于模糊神经网络的凝汽器故障诊断研究 |
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| 引用本文： | 王修彦,王清照.基于模糊神经网络的凝汽器故障诊断研究[J].现代电力,2001,18(2):12-17. |
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| 作者姓名： | 王修彦 王清照 |
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| 作者单位： | 华北电力大学(北京)动力工程系 |
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| 摘 要： | 采用模糊神经网络进行凝汽器的故障诊断。根据某电厂的运行规程及运行经验构造了进行凝汽器故障诊断所需的全部17个隶属函数，利用这些隶属函数可以对各个输入进行模糊化处理，使之成为量化输入。对模糊BP网络进行训练，可以得到模糊BP网络的知识库结构。在此基础上，对一个凝汽器实际故障进行了诊断，得出了令人满意的结果。
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| 关 键 词： | 凝汽器 监测 故障诊断 神经网络 |
| 文章编号： | 1007-2322(2001)02-00012-06 |
| 修稿时间： | 2001年1月8日 |
A Study on the Diagnosis
of the Condenser Faults Based on the Fuzzy Neural Networks |
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| WANG Xiuyan,Wang Qingzhao.A Study on the Diagnosis
of the Condenser Faults Based on the Fuzzy Neural Networks[J].Modern Electric Power,2001,18(2):12-17. |
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| Authors: | WANG Xiuyan Wang Qingzhao |
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| Abstract: | In this paper,the fuzzy neural networks are used for the condenser faults diagnosis 17 membership functions for the condenser faults diagnosis are formed according to the operational rules and experiences of a power plant Using these membership functions,the inputs are fuzzified The fuzzy BP neural network knowledge base structure is obtained by training the network On the basis of the network,a real condenser fault is diagnosed The result is satisfactory |
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| Keywords: | condenser monitoring fault diagnosis neural networks |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
