| 利用人工神经网络的故障诊断的模糊分类 |
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| 引用本文： | 潘丹,郑启伦,黄茜,翁向辉,罗干英. 利用人工神经网络的故障诊断的模糊分类[J]. 华南理工大学学报(自然科学版), 1999, 27(4): 92-97 |
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| 作者姓名： | 潘丹 郑启伦 黄茜 翁向辉 罗干英 |
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| 作者单位： | 华南理工大学电子与信息学院,广州,510640 |
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| 基金项目： | 国家自然科学基金,广东省自然科学基金 |
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| 摘 要： | 针对基于方法的模糊逻辑和传统的神经网络在故障诊断中各自所具有的不足，提出了一种可行的方法，即在使用ＢＰ算法的神经网络中，输入矢量由故障症状的隶属度值组成，而输出矢量由该症状相对于各故障原因的隶属度值组成，将该方法应用于雷达设备的故障诊断，得到了令人满意的结果。
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| 关 键 词： | 故障诊断 模糊分类 神经网络 |
FUZZY CLASSIFICATION OF FAULT DIAGNOSIS USING ANNS |
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| Pan Dan,Zheng Qilun,Huang Qian,Weng Xianghui,Luo Ganying. FUZZY CLASSIFICATION OF FAULT DIAGNOSIS USING ANNS[J]. Journal of South China University of Technology(Natural Science Edition), 1999, 27(4): 92-97 |
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| Authors: | Pan Dan Zheng Qilun Huang Qian Weng Xianghui Luo Ganying |
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| Abstract: | In view of respective disadvantages of the fuzzy logic based on methods and the traditional neural networks when they are applied to the fault diagnosis, a practical way is proposed in this paper. That is, in the neural networks using BP algorithm, the input vector consists of membership values of fault symptoms while the output vector consists of membership values of fault symptoms in terms of each fault reason. Applying the method to the fault diagnosis of a radar equipment, satisfactory results have been got. |
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| Keywords: | fault diagnosis fuzzy classification neural networks |
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