| 旋转机械工况辨识的模糊神经网络方法 |
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| 引用本文： | 许飞云,贾民平.旋转机械工况辨识的模糊神经网络方法[J].东南大学学报(自然科学版),1995,25(5):67-72. |
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| 作者姓名： | 许飞云 贾民平 |
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| 作者单位： | 东南大学机械工程系 |
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| 摘 要： | 本文介绍了一种模糊神经网络分类器，针对其在旋转机械工况辨识中的应用，论述了网络的输入和输出模糊化问题，文中就旋转机械中几种典型的故障模式采用模糊神经网络进行了识别，并与传统的ＢＰ网络进行了比较，研究结果表明，模糊神经网络方法应用于旋转机械工况识别是有效的，它比传统ＢＰ网络更适合于处理分类边界模糊的数据。
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| 关 键 词： | 模糊系统 神经系统 旋转机械 工况辨识 故障诊断 |
A Study on Fuzzy Neural Network for Operation StateIdentification of Rotating Michine |
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| Xu Feiyun,Jia Minping,Zhong Binglin,Huang Ren.A Study on Fuzzy Neural Network for Operation StateIdentification of Rotating Michine[J].Journal of Southeast University(Natural Science Edition),1995,25(5):67-72. |
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| Authors: | Xu Feiyun Jia Minping Zhong Binglin Huang Ren |
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| Abstract: | A fuzzy neural network classifier is introduced ,which incogurated the fuzzy concept intoits input and output,with emphasis on the fuzzification of its input and output vectors.By using nineline-power-spoctrum,seven types of typical faults in rotating machines are analyzed and identifiedwith the fuzzy neural network.In addition,the performance of the fuzzy neural network is comparedwith that of the conventional multilayer perceptron.The research results show that the method prasent-ed is suitable for state recognition of rotating machinery,and it is efficient in dealing with the uncer-tain or ambiguous data. |
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| Keywords: | fuzzy system rotating machinery neural network state identification |
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