灰关联Kalman滤波的大坝变形分析模型

Grey Relational Kalman Filters Dam Deformation Analysis

针对某大坝变形影响因子多的情况,给出了一种基于灰色关联分析下卡尔曼滤波的新算法。以某大坝的水平变形为例,通过灰色关联分析讨论各影响因子的关联度并建立灰关联卡尔曼滤波模型,与普通卡尔曼滤波模型进行了对比分析,结果表明:灰关联Kalman滤波模型的综合精度较高,能够提供更准确的预报结果,对大坝变形分析研究有一定意义。

Grey correlation analysis and Kalman filter are introduced in the paper.Under the situation of more impact factors on a certain dam deformation,a new algorithm for Kalman filter based on grey correlation analysis is introduced.In the horizontal deformation of a certain dam for example and the grey correlation analysis,the correlation degree of various impact factors is discussed and grey correlation Kalman filtering model established,from the comparison analysis of ordinary Kalman filter model.The result shows that the grey relational Kalman filter with good synthesis accuracy can provide more accurate prediction for the dam deformation research.