摘要
针对靶场试验测量数据处理误差分析的问题,对统计学中常用的四种粗大误差判定准则应用特点进行分析。结合靶场某次试验单台设备的测量数据,分别用四种判定准则进行数据预处理,提出了靶场数据预处理遵循的原则。研究结果表明,实时和事后数据预处理采用不同的准则进行判定,需要将四个准则综合应用。改进了以往单一使用拉依达准则预处理的办法,实例验证了合理性和有效性。对试验数据预处理方法的研究,旨在利用试验数据对被试飞行器的性能做出合理的鉴定。
Based on the problem of data processing error analysis in shooting range test,the application characteristics of four kinds of coarse error criteria used in statistics are analyzed.Combined with the measurement data of a single test equipment at a shooting range,the data are preprocessed judging by four criteria,and then the principle of data preprocessing is put forward.The results of the research show that real-time and post-event data preprocessing are judged by different criteria and that the four criteria need to be comprehensively applied.The previous method of single-use Layda criterion pretreatment was improved,and the example verified its rationality and effectiveness. And therefore a reasonable judgement on the performance of the tested aircraft can be made in the data preprocessing method research.
作者
刘艳
于露
LIU Yan;YU Lu(Unit 91550 of PLA,Dalian 116023)
出处
《长春理工大学学报（自然科学版）》
2018年第3期139-142,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
粗大误差
数据预处理
异常值
靶场
gross error；data preprocessing；outliers；shooting range
