%0 Journal Article
%T The Application of Rough Set Neural Network System in Fault Diagnosis<br>粗糙集神经网络系统在故障诊断中的应用
%A HAO Li-na
%A XU Xin-he
%A <br>郝丽娜
%A 徐心和
%J 控制理论与应用
%D 2001
%I 
%X The phenomena of misinformation and failing to report in fault diagnosis affect directly the quality of diagnosis, meanwhile, fault diagnosis on line demands real time. On the basis of giving an architecture of rough set neural network system, this paper applies it to the fault diagnosis of rolling bearings combined with professional knowledge. Simulation results indicate that the system has increased the quality and rate of diagnosis, reduced measure items and costs of diagnosis. There will be well application prospect in practice.
%K rough sets
%K artificial neural networks
%K fault diagnosis<br>粗糙集
%K 人工神经网络
%K 故障诊断
%K 滚动轴承
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=0DF35963E06CE531&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=94C357A881DFC066&sid=8243B77967FFD12E&eid=AF14A8B15FB15A64&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=23&reference_num=8