%0 Journal Article
%T Diagnostic method of power plant water vapor cycle system based on fuzzy neural networks<br>电厂水汽循环系统模糊神经网络故障诊断
%A ZHANG Xiao-song
%A CHEN Wen-kai
%A <br>张小松
%A 陈文楷
%J 控制理论与应用
%D 2003
%I 
%X In the power plant, it is difficult to diagnose the water-vapor cycle system because of the indeterminacy and fuzziness of the parameters. Based on the analysis of the characteristics of the system, an intelligent diagnostic method is developed-using the artificial fuzzy neural networks. The experement shows that the method can solve the problem of the indeterminacy and fuzziness of the parameters, and improve the reliability of diagnosis.
%K fault diagnosis
%K fuzzy neural networks
%K the water vapor cycle system<br>故障诊断
%K 模糊神经网络
%K 水汽循环系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=E410A881A1CC7FBE&yid=D43C4A19B2EE3C0A&vid=A04140E723CB732E&iid=CA4FD0336C81A37A&sid=7555FB9CC973F695&eid=2B5DE8A23DCEED39&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=5&reference_num=6