| 基于模糊神经网络的设备故障诊断分析 |
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| 引用本文： | 周成容 杨大地. 基于模糊神经网络的设备故障诊断分析[J]. 重庆科技学院学报(自然科学版), 2005, 7(3): 81-85 |
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| 作者姓名： | 周成容 杨大地 |
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| 作者单位： | 重庆大学数理学院,重庆400044 |
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| 摘 要： | 建立了一个模糊神经网络,用主成分分析法提取故障发生的特征运行参数,确定所建立的模糊神经网络的输入向量个数,再用动态聚类法对所采集的大样本进行故障分类,确定所建立的模糊神经网络的输出向量个数.根据采集的样本训练出模糊神经网络的连接矩阵,然后对单个的联想记忆网络进行合成,实现故障的诊断.通过具体的实例,给出诊断过程.
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| 关 键 词： | 模糊神经网络 故障诊断 特征提取 故障分类 |
| 文章编号： | 1673-1980(2005)03-0081-05 |
| 收稿时间： | 2005-06-01 |
| 修稿时间： | 2005-06-01 |
Diagnosis and Analysis of Fault Based on Fuzzy-Neural Network Theory and Probability Theory |
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| ZHOU Cheng-rong, YANG Da-di. Diagnosis and Analysis of Fault Based on Fuzzy-Neural Network Theory and Probability Theory[J]. Journal of Chongqing University of Science and Technology:Natural Science Edition, 2005, 7(3): 81-85 |
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| Authors: | ZHOU Cheng-rong YANG Da-di |
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| Affiliation: | School of Mathematics and Physics, Chongqing University, Chongqing, 400044 |
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| Abstract: | A fuzzy-neural network is constructed which extracts characteristics of fault in the work by main component analysis to confirm the amount of input in the fuzzy-neural network. Then dynamic clustering is used to classify faults that we got from practice, so that the amount of output is confirmed. The gathered samples are used to train the connected matrix of the fuzzy-neural network. And every single fuzzy-neural network is assembled to realize fault diagnosis. Finally the diagnosis process is provided with an example. |
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| Keywords: | fuzzy-neural network fault diagnosis characteristics extraction fault classification |
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