|本期目录/Table of Contents|

[1]任国恒,朱 变,朱 海.马特拉算法在遥测数据短期预测中的应用[J].武汉工程大学学报,2014,(02):43.
　REN Guo-heng,ZHU Bian,ZHU Hai.Application of Mallat algorithm in short-term forecasting of telemetry data[J].Journal of Wuhan Institute of Technology,2014,(02):43.
点击复制

马特拉算法在遥测数据短期预测中的应用()
分享到：

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

卷:
期数:
2014年02期
页码:
43
栏目:
机电与信息工程
出版日期:
2014-02-28

文章信息/Info

Title:
Application of Mallat algorithm in short-term forecasting of telemetry data
作者:
任国恒; 朱 变; 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-heng ;  ZHU Bian ;  ZHU Hai
(School of Computer Science and Technology, Zhoukou Normal University, Zhoukou 466001, China)
关键词:
马特拉算法; 周期自回归模型; 指数平滑法; 短期预测
Keywords:
Mallat algorithm;  Periodic Auto-regression model;  Exponential smoothing method;  Short-term forecasting
分类号:
TP391
DOI:
-
文献标志码:
A 　　　　DOI
摘要:
为了提高遥测数据预测的精度和实时性，针对遥测数据的非平稳性和周期性特点，引入小波分析的预测技术，提出了一种对遥测数据序列进行不同频段上的分解方法：遥测数据时间序列依据选定的N阶多贝西小波和分解尺度值2分解为低频分量和高频分量，针对不同分量建立了基于马特拉算法、周期自回归模型和指数平滑法的时间序列短期预测模型，各分量预测结果经小波变换的逆算法重构后输出。仿真实验结果表明该方法满足遥测数据工程预测要求，能够有效的解决遥测数据的短期预测问题。通过对遥测数据短期预测结果的研究分析可提前判断卫星潜在的趋势，为指挥人员的正确决策提供科学依据。
Abstract:
To improve the accuracy and real-time of telemetry data prediction, according to the non-stationary and the periodic of telemetry data,the wavelet analysis forecasting technology was introduced and a decomposition method of different frequency ranges on the sequence of telemetry data was proposed. The time series of telemetry data was decomposed into low frequency components and high frequency components based on dbN wavelet function and decomposition scale 2. A short-term prediction model based on Mallat algorithm, periodic auto-regression model and exponent-smoothing algorithm was established for different components. The last result was output after reconstruction by the inverse algorithm of wavelet transform. Simulation results show that such method meets the project requirements of telemetry data, which can solve the short-term forecasting problem of telemetry data effectively. Moreover, it can forecast the potential tendency in advance based on the analysis of short-term forecasting result, which can provide a scientific basis for commander in right decision-making

参考文献/References:

[1] 郭小红,徐小辉,赵树强，等.基于新信息灰色预测的卫星遥测数据参数状态预测及应用[J].宇航学报,2010(8):1938-1943.
GUO Xiao-hong,XU Xiao-hui,ZHAO Shu-wiang,et al.Satellite telemetry parameter trend forecast algorithm based on new information and application[J].Journal of Astronautics, 2010(8):1938-1943.(in Chinese)
[2] 孙振明,姜兴渭,王晓锋,等.Trous小波在卫星遥测数据递归预测中的应用[J].南京理工大学学报,2004, 28 (6):606-611.
SUN Zhen-ming,JIANG Xing-wei,WANG Xiao-feng,et al.Application of Trous wavelet to satellite telemetry data recursive prediction[J].Journal of Nanjing University of Science and Technology,2004, 28 (6):606-611. (in Chinese)
[3] 余国浩,蔡远文.自适应指数平滑法预测遥测数据实时趋势研究[J].装备指挥技术学院学报,2007,18(2):66-69.
YU Guo-hao,CAI Yuan-wen.Research on exponent-smoothing model with variable parameters applied in real-time trend prediction of telemetry data[J].Journal of the Academy of Equipment Command &Tchnology, 2007,18(2):66-69. (in Chinese)
[4] 鲁明.卫星数据的信息识别[D]. 哈尔滨工业大学,2006.
LU Ming Recognition of information from satellite data [D]. Harbin:Harbin Institute of Technology, 2006. (in Chinese)
[5] 刘辉,田红旗,陈超，等.基于小波分析法与神经网络法的非平稳风速信号短期预测优化算法[J].中南大学学报:自然科学版,2011,42(9):2705-2709.
LIU Hui,TIAN Hong-qi,CHEN Chao,et al.Short-term forecasting optimization algorithm for unsteady wind speed signal based on wavelet analysis method and neutral networks method[J].Journal of Central of South University:Science and Technology, 2011,42(9):2705-2709. (in Chinese)
[6] TAI Nengling,Jurgen Stenzel,WU Hong-xiao. Techniques of applying wavelet transform into combined model for short-term load forecasting [J]. Electric Power Systems Research, 2006, 76(6/7):525-533.
[7].徐军华.电力系统短期负荷预测模型与优选的研究[D].四川大学,2004.
XU Jun-hua.Research on Power System Short-term Load Forecasting Model and Optimum Selsction[D].Chengdu:Sichuan university,2004. (in Chinese)
[8] TANG Jian,LUAN Jiahui,LIU Yalong,et al. A novel design of prediction interval for telemetry data [C]// /Proceedings of the Annual Reliability and maintainability symposium (RAMS),24-27 Jan. 2011,Lake Buena Vista,FL2011:1-5.
[9] LIU Yu,ZENG De-liang,LIU Ji-zhen,et al.Short-term wind speed forecast based on wavelet packet transform and LS-SVM[C]//Proceedings of the 2012 24th Chinese Control and Decision Conference(CCDC),23-25 May 2012,Taiyuan,China. Sigapore:IEEE Industrial Electronics(IE )Chapter2012:2811-2814.

相似文献/References:

[1]任国恒,朱变,朱海.马特拉算法在遥测数据短期预测中的应用[J].武汉工程大学学报,2014,(02):73.[doi:10.3969/j.issn.16742869.2014.02.014]
　REN Guo heng,ZHU Bian,ZHU Hai.Application of Mallat algorithm in shortterm forecasting of telemetry data[J].Journal of Wuhan Institute of Technology,2014,(02):73.[doi:10.3969/j.issn.16742869.2014.02.014]

备注/Memo

备注/Memo:
(收稿日期:20123-12-16基金项目：国家自然科学基金项目（61101143）；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，硕士，讲师.研究方向：云计算与数据挖掘.第22卷第10期 计算机应用与软件 Vol.22, No.102005年10月 Computer Applications and Software Oct. 2005
更新日期/Last Update: 2014-02-24