摘要
针对小样本、未知概率分布的变形数据粗差探测问题,提出了一种基于灰包络线的多维粗差探测方法,并根据灰色系统的不确定度理论,构造了粗差探测的灰包络线。将包络线探测法应用于某水电站的地下建筑物变形数据的粗差探测,验证了该方法是一种有效的粗差探测方法。
Aiming at the problem of the small samples whose distribution is unknown, a novel method using the grey envelope to detect the gross error in deformation monitoring data is proposed. Firstly, according to the uncer- tainty theory of grey system, the grey envelope for gross error detection is established, and then the principle and its steps for gross error detection are introduced. Using the method to detect the deformation in underground building of a hydropower station, we finally draw a conclusion that the proposed method is feasible and effective.
出处
《大地测量与地球动力学》
CSCD
北大核心
2012年第6期99-102,共4页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41071328)
国家重点基础研究发展规划(973)项目(2007CB209400)
教育部新世纪优秀人才支持计划(NECT-07-07098)
关键词
变形
灰色系统
灰包络线
多维粗差
探测
deformation
grey system
grey envelope
multidimensional gross error
detection