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

最小二乘B样条函数在火箭发动机数据处理中的应用
引用本文:周静,侯志勇,张英红,张翠平.最小二乘B样条函数在火箭发动机数据处理中的应用[J].应用声学,2015,23(4):60-60.
作者姓名:周静  侯志勇  张英红  张翠平
作者单位:中国航天科工集团六院601所,中国航天科工集团六院601所,中国航天科工集团六院601所,中国航天科工集团六院601所
摘    要:在固体火箭发动机地面试验数据处理中,通过应用最小二乘三次B样条函数拟合的方法,进行野值辨识和修复。文中阐述了实际应用中的步骤及应注意的几点问题。为避免常规的控制序列中含有野值而影响数据辨识的问题,提出差别选取控制点循环过滤的方法,实现精度更高的野值辨识。进而采用门限判别方法,实现野值的修复。通过实测数据处理的应用表明,该算法对单个和成片野值的辨识度都很高,适用于火箭发动机地面试验数据处理。

关 键 词:火箭发动机  拟合残差  B样条  野值辨识
修稿时间:9/4/2014 12:00:00 AM

Application of B-spline least square method in rocket motor data processing
Abstract:In the solid rocket motor ground test data processing, throungh the Application of B-spline least square curve fitting method for outliter identified and repairation. This paper describes procedures of the practical application and several issues needing attention. In order to avoid the problem, which the conventional control sequences containing outliers and affecting data identification, propose difference selected control point loop filter method to achieve higher accuracy outlier identified. Furthermore the use of threshold discrimination method to achieve restoration of outliers.Applications processed by the measured data show that the algorithm have a high degree of recognition for single and a large number of outliers, apply to rocket motor ground test data processing.
Keywords:rocket motor  fitting residuds  B-spline  outlier identified
点击此处可从《应用声学》浏览原始摘要信息
点击此处可从《应用声学》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