简介:TheSeventhNationalPeople’sCon-gress(NPC)concludeditsfifth,andlast,sessiononApril3,1992inBeijing,endorsingtheStateCouncil’sgovernmentworkreport,threedraftlaws,andalsogiv-ingthego-aheadtothelong-disputedThreeGorgesdamproject.Ofthe2,633deputiesattendingclos-ingsessionheldinGreatHallofthePeople,1,767votedinfavourofthe57-billionyuan($10.5billion)ThreeGorgesdamprojecton
简介:为满足风机运营商对设备故障实时监控和预测的需求,探讨了基于自回归积分滑动平均模型(ARIMA)和非线性自回归神经网络模型(NARNN)的组合模型NARIMA。实现方法为:建立ARIMA模型用于预测数据的线性成分,用NARNN模型预测由ARIMA模型预测产生的残差部分,对风机叶片结冰故障的时间序列进行拟合,得到的NARIMA模型可实现对风机叶片结冰故障准确预测。仿真结果表明:NARIMA模型能较好地拟合所给时间序列,预测值符合实际情况和趋势,证明了NARIMA模型的有效性。