首页 | 本学科首页   官方微博 | 高级检索  
     检索      

广义时变ARMA序列预测方法
引用本文:王治华,傅惠民.广义时变ARMA序列预测方法[J].航空动力学报,2005,20(5):713-717.
作者姓名:王治华  傅惠民
作者单位:北京航空材料研究院,北京,100095
基金项目:北京市重点学科工程力学项目(XK100060418)
摘    要:提出一种广义时变ARMA序列预测方法,给出时变序列和广义时变序列的预测公式及其均方误差。该方法能够对均值、方差、自回归系数和滑动平均系数都随时间变化的广义时变序列(或信号)进行分析和预测,可广泛应用于气象、通信、自动控制、结构响应分析和故障诊断等领域。大量计算表明,本文方法与传统方法相比,具有更高的预测精度。

关 键 词:序列  时变序列  时变参数  非平稳序列  预测
文章编号:1000-8055(2005)05-0713-05
收稿时间:2005/7/18 0:00:00
修稿时间:2005年7月18日

Prediction Method for Generalized Time-Varying ARMA Series
WANG Zhi-hua and FU Hui-min.Prediction Method for Generalized Time-Varying ARMA Series[J].Journal of Aerospace Power,2005,20(5):713-717.
Authors:WANG Zhi-hua and FU Hui-min
Institution:Institute of Solid Mechanics,Beijing University of Aeronautics and Astronautics,Beijing100083,China;Institute of Solid Mechanics,Beijing University of Aeronautics and Astronautics,Beijing100083,China
Abstract:A method for predicting generalized time-varying ARMA series is proposed.The prediction formulas of time-varying and generalized time-varying series and their mean squared errors are presented.The method can analyze the generalized time-varying series(or signal) whose mean,variance,autoregressive and moving average coefficients vary with time.It can be used in meteorology,communication,automatic control,structure response analysis,fault diagnosis and other fields.The precision of the presented method is higher than the traditional method in predicting generalized time-varying ARMA series.
Keywords:series  time-varying series  time-varying parameter  non-stationary series  prediction
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《航空动力学报》浏览原始摘要信息
点击此处可从《航空动力学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号