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复合模糊神经网络在故障诊断中的应用研究
The Application of the Hybrid Fuzzy Neural Network for Fault Diagnosis
【摘要】 对于复杂的诊断对象 ,本文提出了一种复合模糊神经网络结构 ,该神经网络结构集成了一系列模糊神经子网络 ,来完成故障分类任务。文中以某高温硝酸冷却系统为诊断对象 ,以系统故障树为设置子网的基础 ,建立了含有多个子网的复合模糊神经网络。仿真结果表明了这种方法的可行性和有效性
【Abstract】 In this paper, a hybrid fuzzy neural network architecture is proposed for complex diagnosis objects. A series of fuzzy neural sub networks are integrated to perform the task of fault classification. Basing the setting of the sub networks on the fault tree of the system, we build the hybrid neural network that includes several sub networks for the cooling system of the high temperature nitric acid. The simulations show the feasibility and validity of the architecture.
【关键词】 神经网络;
故障诊断;
故障树;
模糊逻辑;
【Key words】 neural network; fault diagnosis; diagnosis tree; fuzzy theory;
【Key words】 neural network; fault diagnosis; diagnosis tree; fuzzy theory;
- 【文献出处】 上海海运学院学报 ,Journal of Shanghai Maritime University , 编辑部邮箱 ,2001年03期
- 【分类号】TP277;TP18
- 【被引频次】4
- 【下载频次】70