%0 Journal Article
%T A New Method of Fault Diagnosis Based on Attibute Sighificance of Multi-field Experts Database<br>基于专家知识库属性重要度的故障诊断方法研究
%A HUANG Da-Rong
%A SONG Jun
%A HU Bi-Jin
%A <br>黄大荣
%A 宋军
%A 胡必锦
%J 计算机科学
%D 2007
%I 
%X Based on attribute signifieance of rough set and integrated technology of experts database, a new method of fault diagnosis to comlex systems is researched. First of all, the attribute significance model of experts database is presented by combing integrated system of multi-field experts and assignment rule of fault state with attribute significance concept in rough set theory. Secondly, a network model based on multi-field experts database is constructed, which can be used to monitor the dynamic systems in real-time and diagnosis fault. Finally, a simulated example has shown that the technique is effectively and exactly. The presented method has used in the fault diagnosis of complex systems and good results have been achieved, and the theoretical analysis indicats that the presented algorithm has a broad prospect for practical application.
%K Complicated system
%K Fault predict
%K Multi-agent integration
%K Confidence level
%K Tolerance error<br>故障诊断
%K 粗糙集理论
%K 专家系统
%K 属性重要度
%K 故障预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=CBD1C49F4308E5DFD04E8610F7A144D8&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=E158A972A605785F&sid=FA89360EB995A8AD&eid=FD7C952458BFB5D8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11