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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
Typical Application of Fuzzy Theory Used in Equipment Fault Diagnosis Based on ANN
【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.
【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.
【Key words】 artificial neural network(ANN); fault diagnosis; fuzzy theory; fuzzy neural network;
- 【文献出处】 广东工业大学学报 ,Journal of Guangdong University of Technology , 编辑部邮箱 ,2006年04期
- 【分类号】TH17
- 【被引频次】4
- 【下载频次】137