%0 Journal Article
%T Fast Detection Method of Rrolling Bearing Faults Based on BP Neural Network<br>基于神经网络的滚动轴承故障快速检测方法
%A XIE Ya
%A <br>谢雅
%J 计算机系统应用
%D 2010
%I 
%X A method of detection about rolling bearing faults based on BP neural network and time domain features of vibration signal is proposed to realize fast fault detection. The input vector of the BP neural network are skewness, kurtosis, crest and margin. The network is trained with BP algorithm. Experimental results show that with this method fast detection of rolling bearing faults can be realized effectively.
%K fault detection
%K artificial neural network
%K rolling bearing
%K fast detection
%K BP algorithm<br>故障诊断
%K 神经网络
%K 滚动轴承
%K 快速诊断
%K BP算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=88CAB83A85A26B2866D3E5247D0DB0DB&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=9CF7A0430CBB2DFD&sid=A1266CF37D675CF1&eid=6ED15D8DCB279BC4&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7