基于MATLAB的风机设备的故障趋势预报  

Fault trend forecasting of fans based on MATLAB

作　　者：孙岩[1] 徐泽宁[1] 兰勇[2] 韩枫 

机构地区：[1]辽宁科技大学机械工程与自动化学院,辽宁鞍山114051 [2]鞍钢集团设计研究院,辽宁鞍山114021 [3]三冶机械制造公司,辽宁鞍山114013

出　　处：《鞍山科技大学学报》2007年第2期141-143,159,共4页Journal of Anshan University of Science and Technology

摘　　要：为了达到风机预知维修,提高工作效率,减少维修费用的目的,以风机振动信号的振动烈度值作为故障特征值,基于MATLAB软件,应用灰预测理论,对风机典型故障进行预测,绘制了基于MATLAB的风机故障趋势预报图。通过故障趋势预报图,能够准确地预测出风机当前以及将来一段时间的工作状态。In order to predict maintenance of fans, improve work efficiency and reduce maintenance costs, the typical fault of fans was predicted taken the vibration intensity of fan＇s vibration signal as fault enigenvalue, based on MATLAB and applied the grey systems forecasting theory. And the predicting chart of fault trend of fans was plotted based on MATLAB. Throught predicting chart of fault trend of fans, the working state of fans can be forecasted accurately at present and in the short run.

关 键 词：故障特征值 趋势预报 MATLAB 灰预测 

分 类 号：TH455[机械工程—机械制造及自动化]