Fuzzy fault diagnosis for a regenerative heating systembased on a Kohonen neural network 期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Fuzzy fault diagnosis for a regenerative heating systembased on a Kohonen neural network

作者姓名：	XIE Zhi jiang CHENG Li min CHEN Ping and LIU Li yun

作者单位：	College of Mechanical Engineering, Chongqing University, Chongqing 400030, P.R. China;College of Mechanical Engineering, Chongqing University, Chongqing 400030, P.R. China;College of Mechanical Engineering, Chongqing University, Chongqing 400030, P.R. China;College of Mechanical Engineering, Chongqing University, Chongqing 400030, P.R. China

摘要：	Twelve typical faults and fuzzy treatment of nine symptom parameters were analyzed. A fault diagnosis method for a fuzzy Kohonen neural network was proposed based on diagnostic working principles and specific features of a Kohonen neural network. The application of the method shows the following merits: a self learning function, rapid operating speed, and strong grouping capability. The fuzzy Kohonen neural network can diagnose single and multiple faults. It is an effective and suitable method for fault diagnosis of the regenerative heating system of the steam turbine unit.
关键词：	regenerative heating system fuzzy treatment Kohonen neural network fault diagnosis

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