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模糊粗糙强耦合神经网络在TEP故障诊断中的应用
Fuzzy Rough Strong Coupling Neural Network Used in TEP Fault Diagnosis
【摘要】 单纯的粗糙集和神经网络在故障诊断方面存在着各自的优缺点,将粗糙集与模糊神经网络相结合的同时,利用粗糙集提取的规则融入神经网络结构中,从而构造了一个模糊粗糙强耦合神经网络结构,并将其运用于TEP(Tennessee-Eastman process)故障诊断中,取得了较好的故障诊断结果.
【Abstract】 Rough set and neural net have been widely used in fault diagnosis,but they all have many disadvantages.This paper used fuzzy neural net in combination with fuzzy rough set and extracted rules,constructed a fuzzy rough strong coupling neural network and used it in TEP(TennesseeEastman process) fault diagnosis.
【关键词】 模糊粗糙集;
神经网络;
知识约简;
规则提取;
【Key words】 fuzzy rough set; neural network; knowledge reduction; rule extraction;
【Key words】 fuzzy rough set; neural network; knowledge reduction; rule extraction;
【基金】 国家自然科学基金项目(60574001)
- 【文献出处】 江南大学学报 ,Journal of Southern Yangtze University , 编辑部邮箱 ,2006年04期
- 【分类号】TP18
- 【被引频次】1
- 【下载频次】73