观测值序列的粗差探测方法  

Gross-error Detection for Observation Data Series

作　　者：冯小磊[1] 华锡生[1] 黄红女[1] 

机构地区：[1]河海大学土木工程学院,江苏省南京市210024

出　　处：《水电自动化与大坝监测》2006年第3期56-59,共4页HYDROPOWER AUTOMATION AND DAM MONITORING

摘　　要：基于小波分析和未确知滤波理论,研究了对观测序列中粗差进行探测和剔除的方法,并结合实例进行了分析和比较,表明这2种方法得到的探测结果基本一致,均具备较好的应用价值。此外,进一步分析了2种方法的优点和局限性,为实际应用提供了有用的参考。根据2种处理方法的特点,提出了粗差探测的综合探测方法。Based on the theories of wavelet analysis and unascertained filtering, the methods for detecting and eliminating grosserror in observation data series are studied. The analysis and comparison of two methods show that the detecting results are basically consistent, and they both have the value of application. Furthermore, the advantages and limitations of these two methods are analyzed, which provides reference for the practical application. Based on the characteristics of these two methods, an integrated method is proposed to detect gross-errors.

关 键 词：观测数据 粗差探测 小波变换 未确知滤波 

分 类 号：TV698.1[水利工程—水利水电工程]