|本期目录/Table of Contents|

[1]任国恒,王健,朱海.灰色理论用于遥测数据中长期预测[J].武汉工程大学学报,2014,(05):74-78.[doi:103969/jissn16742869201505016]
 REN Guo heng,WANG Jian,ZHU Hai.Prediction of medium and longterm telemetry data by grey theory[J].Journal of Wuhan Institute of Technology,2014,(05):74-78.[doi:103969/jissn16742869201505016]
点击复制

灰色理论用于遥测数据中长期预测(/HTML)
分享到:

《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2014年05期
页码:
74-78
栏目:
机电与信息工程
出版日期:
2014-05-31

文章信息/Info

Title:
Prediction of medium and longterm telemetry data by grey theory
文章编号:
16742869(2014)05007405
作者:
任国恒王健朱海
周口师范学院计算机科学与技术学院,河南 周口 466001
Author(s):
REN GuohengWANG JianZHU Hai
School of Computer Science and Technology,Zhoukou Normal University,Zhoukou 466001,China
关键词:
灰色理论GM(11)模型中长期预测遥测数据
Keywords:
rey theoryGM (11) modelprediction of medium and longtermtelemetry data
分类号:
TP391
DOI:
103969/jissn16742869201505016
文献标志码:
A
摘要:
针对卫星在轨测控过程中,遥测数据变化趋势不易判断这一问题,提出了对遥测数据进行中长期预测的思想.基于灰色系统理论,结合遥测数据特点和中长期预测要求,对灰色预测GM(1,1)模型的建模过程和预测精度进行研究.依据所构建的模型进行预测验证分析,根据后验差比值、小误差概率、预测精度对预测结果的评价分析显示,该方法可以对遥测数据中长期趋势起到提前预报的作用,符合卫星遥测数据中长期预测要求.预测结果能够为测控人员对卫星遥测数据未来趋势的分析和潜在故障的预警判断提供理论支持.
Abstract:
Aimed at the trend of telemetry data difficult to determine during the monitoring process of satellite inorbit,an idea of medium and longterm forecasting telemetry was put forward.The modeling process and prediction accuracy of GM (1,1) model was studied based on the gray system theory,the characteristics of telemetry data and longterm forecasts requirement.The prediction model was used in an engineering case.The evaluation results according to posterior poor radio,small error possibility and forecast accuracy show that prediction results play a role in middle longterm trends forecast,meeting the requirements of satellite telemetry data forecast.Predicted results can provide a scientific basis for monitoring personnel to analyze the future trends and forecast the potentialfailure in advance.

参考文献/References:

[1]秦巍,郭永富.一种基于历史遥测数据的在轨卫星故障预警系统[J].航天器工程,2010,19(6):4045.QIN Wei,GUO Yongfu.A failure warning system based on history telemetry data[J].Spacecraft Engineering,2010,19(6):4045.(in Chinese)[2]房红征,史慧,韩立明,等.基于粒子群优化神经网络的卫星故障预测方法[J].计算机测量与控制,2013,21(7):17301733.FANG Hongzheng,SHI Hui,HAN Liming,et al.Method of prognostics for satellite based on particle swarm optimized neural network[J].Computer Measurement & Control,2013,21(7):17301733.(in Chinese)[3]杨悦,杨永安,胡绍林.逐段回归近似的卫星遥测数据挖掘算法与仿真[J].计算机仿真,2013,30(8):109112.YANG Yue,YANG Yongan,HU Shaolin.Mining algorithm and simulation of satellite telemetry data based on piecewise regression approximation method[J].Computer Simulation,2013,30(8):109112.(in Chinese)[4]蔡国伟,杜毅,李春山,等.基于支持向量机的中长期日负荷曲线预测[J].电网技术,2006,30(23):5660.CAI Guowei,DU Yi,LI Chunshan,et al.Middle andlongterm daily load curve forecasting based on supportvector machine[J].Power System Technology,2006,30(23):5660.(in Chinese)[5]李伟,闫宁,张振刚.基于粗糙集的混合支持向量机长期电力负荷预测研究[J].电力系统保护与控制,2010,38(13):3134.LI Wei,YAN Ning,ZHANG Zhengang.Study on longterm load forecasting of MIXSVM based on rough set theory [J].Power System Protection and Control,2010,38(13):3134.(in Chinese)[6]王颖林,赖芨宇,郭丰敏.建设需求量预测分析中的人工神经网络和多元回归方法[J].武汉工程大学学报,2013,35(11):7780.WANG Yinglin,LAI Jiyu,GUO Fengmin.Construction demand forecasting by artificial neural networks and multiple regression[J].Journal of Wuhan Institute of Techonogy,2013,35(11):7780.(in Chinese)[7]张伏生,刘芳,赵文彬,等.灰色 Verhulst 模型在中长期负荷预测中的应用[J].电网技术,2003,27(5):3781.ZHANG Fusheng,LIU Fang,ZHAO Wenbin,et al.Application of grey Verhulst model in middle and longterm load forecasting[J].Power System Technology,2003,27(5):3781.(in Chinese)[8]肖云,周春梅,虞珏,等.大冶铁矿滑坡预测模型研究[J].武汉工程大学学报,2010,32(1):911.XIAO Yun,ZHOU Chunmei,YU Jue,et al.Study on prediction model in Hubei Daye iron mine slope[J].Journal of Wuhan Institute of Technology,2010,32(1):911.(in Chinese)[9]李先福,魏雨溪,杨红梅.黄茨滑坡时间预报分析[J].武汉工程大学学报,2013,35(4):5253.LI Xianfu,WEI Yuxi,YANG Hongmei.Time forecast for Huangci landslide by back analysis[J].Journal of Wuhan Institute of Technology,2013,35(4):5253.(in Chinese)[10]邓聚龙.灰色预测与决策[M].武汉:华中理工大学出版社,1989.DENG Julong.Grey prediction and decision [M].Wuhan:Huazhong University of Science and Technology Press,1989.(in Chinese)[11]孟祥星,田成微,冬雷,等.灰色理论用于风力发电容量中长期预测的研究[J].电力系统保护与控制,2011,39(21):8184.MENG Xiangxing,TIAN Chengwei,DONG Lei,et al.A study of grey theory used in prediction of medium and longterm wind power generation[J].Power System Protection and Control,2011,39(21):8184.(in Chinese)[12]袁明友,肖先勇,杨洪耕,等.基于灰色理论的供电系统负荷中长期预测模型及其应用[J].四川大学学报:工程科学版,2002,34(4):121123.YUAN Mingyou,XIAO Xianyong,YANG Honggeng,et al.The grey model of middlelong term load forecasting and its applications in the power supplying systems[J].Journal of Sichuan University:Engineering Science Edition,2002,34(4):121123.(in Chinese)

相似文献/References:

[1]任国恒,王 健,朱 海.灰色理论用于遥测数据中长期预测[J].武汉工程大学学报,2014,(04):8.
 REN Guo-heng,WANG Jian,ZHU Hai.Prediction of medium and long-term telemetry data by grey theory[J].Journal of Wuhan Institute of Technology,2014,(05):8.

备注/Memo

备注/Memo:
收稿日期:20140314基金项目:国家自然科学基金项目(61103143);河南省教育厅科学技术研究重点项目(14B520014);周口师范学院青年基金项目(zknuc0214)作者简介:任国恒(1982),男,河南周口人,讲师,硕士.研究方向:云计算与数据挖掘.
更新日期/Last Update: 2014-06-15