Singular value diagnosis in dam safety monitoring effect values  

作　　者：GU ChongShi ZHAO ErFeng JIN Yi SU HuaiZhi 

机构地区：[1]State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China [2]National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety,Hohai University,Nanjing 210098,China [3]College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China

出　　处：《Science China(Technological Sciences)》2011年第5期1169-1176,共8页中国科学(技术科学英文版)

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 51079046, 50909041, 50809025, and 50879024);the National Science and Technology Support Plan (Grant Nos. 2008BAB29B03and 2008BAB29B06);the Special Fund of State Key Laboratory of China (Grant Nos. 2009586012, 2009586912, and 2010585212);the Fundamental Research Funds for the Central Universities (Grant Nos. 2009B08514, 2010B20414, 2010B01414, and 2010B14114);the China Hydropower Engineering Consulting Group Co. Science and Technology Support Pro-ject (Grant No. CHC-KJ-2007-02);Jiangsu Province "333 High-Level Personnel Training Project" (Grant No. 2017-B08037);Graduate Innovation Program of Universities in Jiangsu Province (Grant No. CX09B_ 163Z);Dominant Discipline Construction Program Funded Projects of University in Jiangsu Provine;Science Foundation for the Excellent Youth Scholars of Ministry of Education of China (Grant No. 20070294023)

摘　　要：Based on the principal component analysis, principal components that have major influence on data variance are determined by the energy percentage method according to the correlation between monitoring effects. Then principal components are extracted through reconstructing multi effects. Moreover, combining with the optimal estimation theory, the method of singular value diagnosis in dam safety monitoring effect values is proposed. After dam monitoring information matrix is obtained, single effect state estimation matrix and multi effect fusion estimation matrix are constructed to make diagnosis on singular values to reduce false alarm rate. And the diagnosis index is calculated by PCA. These methods have already been applied to an actual project and the result shows the ability of the monitoring effect reflecting dam evolution behavior is improved as dam safety monitoring effect fusion estimation can take accurate identification on singular values and achieve data reduction, filter out noise and lower false alarm rate effectively.

关 键 词：dam safety monitoring EFFECT singular value diagnosis principal component analysis optimal estimation 

分 类 号：TV698.1[水利工程—水利水电工程]