首页 | 本学科首页   官方微博 | 高级检索  
     

基于参数模型的测试缺失数据恢复
引用本文:郜淑媛,吴亚锋,翟位雷. 基于参数模型的测试缺失数据恢复[J]. 噪声与振动控制, 2010, 30(3): 23-26. DOI:  10.3969/j.issn.1006-1355.2010.03.007
作者姓名:郜淑媛  吴亚锋  翟位雷
作者单位:(西北工业大学动力与能源学院,西安710072)
摘    要:工程实验测试中常会因测试系统部件选取不合适或发生故障等原因而造成数据缺失现象。研究利用参数模型方法对其进行恢复。通过对被测信号中正确数据的分析,确定出模型结构、阶次、具体参数,并进行检验和优化,得出最佳模型。针对实际的空测数据进行了仿真和应用,证明该方法是有效的。

关 键 词:振动与波  缺失数据  参数模型  ARMA模型  AR模型  数据恢复  
收稿时间:2009-06-30

Resumption of Missing-data in Testing Based on Parameter Model
GAO Shu-yuan,WU Ya-feng,ZHAI Wei-lei. Resumption of Missing-data in Testing Based on Parameter Model[J]. Noise and Vibration Control, 2010, 30(3): 23-26. DOI:  10.3969/j.issn.1006-1355.2010.03.007
Authors:GAO Shu-yuan  WU Ya-feng  ZHAI Wei-lei
Affiliation:(School of Power and Energy, Northwestern Polytechnical University, Xian 710072, China)
Abstract:Data-missing phenomena may happen in engineering testing due to the mismatch of component parts or breakdown of the testing system.In this paper,a parameter model is proposed to recover the missing-data.Through analyzing the correct data,the structure,the best order and the specific parameters of the model can be determined,and be further tested and optimized,so that the best model can be obtained.Finally,as an example,an AR model is applied to resume the missing data in the testing of an actual flight.The results show that the method is feasible and effective.
Keywords:vibration and wave  missing-data  parameter model  ARMA model  AR model  data recovery
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《噪声与振动控制》浏览原始摘要信息
点击此处可从《噪声与振动控制》下载全文
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