%0 Journal Article
%T An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic<br>一种基于模糊逻辑的非线性系统故障检测与定位的方法
%A LIU Zhi-yan
%A SHEN Yi
%A LIU Yi-ping
%A <br>刘志言
%A 沈 毅
%A 刘宜平
%J 控制理论与应用
%D 2001
%I 
%X A new fuzzy model with symbols for faults in system is proposed. Further, based on this model, a new method for fault detection and location in nonlinear systems is developed. The method extracts fuzzy rules by fuzzy cluster algorithms to perform fault diagnosis. It can be still efficient when there exist noise and model error. Finally, the simulation results demonstrate the effectiveness and feasibility of the proposed method.
%K nonlinear systems
%K fault diagnosis
%K fuzzy cluster analysis
%K fuzzy model<br>非线性系统
%K 故障诊断
%K 模糊聚类分析
%K 模糊模型
%K 模糊逻辑
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=B1076F753702BB11&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=D9AE183D3F5C3C75&eid=FE4C96E058BB2280&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=1&reference_num=4