%0 Journal Article
%T Fault diagnosis model based on modified evidence theory and neural network<br>基于改进证据理论和神经网络的故障诊断模型*
%A ZHANG Han-dong
%A WANG Cui-hua
%A <br>张捍东
%A 王翠华
%J 计算机应用研究
%D 2010
%I 
%X Directing to the low precision of single fault diagnosis systerm,this paper put forward the decision-level fusion fault diagnosis model which fusing neural network and D-S evidence.The method used D-S's evidence to deal with inaccuracy and fuzzy information,and evidence's basic belief assignment could be sloved by neural network.Proposed a new combination rule,which based on reallocation of the basic probability assigned to conflict focal elements.The method could solve the problem of conflicting evidences....
%K evidence theory
%K conflict focal element
%K neural network
%K fault diagnosis<br>证据理论
%K 冲突焦元
%K 神经网络
%K 故障诊断
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=961F54DD58FDCCAE51988CDA417FA065&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=7671EBF56E8E19A5&eid=0B2455B0C3E7C267&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11