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模糊理论在设备故障诊断神经网络中的典型应用
引用本文:龙祥,钱志博.模糊理论在设备故障诊断神经网络中的典型应用[J].广东工业大学学报,2006,23(4):60-63,81.
作者姓名:龙祥  钱志博
作者单位:西北工业大学,航海学院,陕西,西安,710072
摘    要:分别阐述了如何结合模糊理论来建立单征兆域单故障诊断、单征兆域多故障诊断及多征兆域多故障诊断等3种典型的诊断模糊神经网络.给出了在实际应用中针对特定问题来建立符合应用需求的诊断模糊神经网络的一般思路,对建立基于神经网络的故障诊断系统具有参考价值和指导作用.

关 键 词:人工神经网络  故障诊断  模糊理论  模糊神经网络
文章编号:1007-7162(2006)04-0060-04
收稿时间:2006-01-23
修稿时间:2006-01-23

Typical Application of Fuzzy Theory Used in Equipment Fault Diagnosis Based on Ann
LONG Xiang,QIAN Zhi-bo.Typical Application of Fuzzy Theory Used in Equipment Fault Diagnosis Based on Ann[J].Journal of Guangdong University of Technology,2006,23(4):60-63,81.
Authors:LONG Xiang  QIAN Zhi-bo
Abstract:This paper gives the way of using fuzzy theory to establish ANN(artificial neural network)for single-fault and multi-faults diagnosis based on one set of symptoms and multifautt diagnosis based on more sets of symptoms,respectively.In addition,each ANN established here is a typical kind of fuzzy neural networks for fault diagnosis.The paper sets forth how to establish an available fault diagnosis system based on ANN while in practice.therefore,it may have some extent reference values and may be instructive in fault diagnosis field to construct fault diagosis system based on ANN.
Keywords:artificial neural network(ANN)  fault diagnosis  fuzzy theory  fuzzy neural network
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