机械科学与技术2025，Vol.44Issue(11)：1868-1875,8.DOI:10.13433/j.cnki.1003-8728.20230382
结合移动窗的多因子噪声修正响应重构
Multi-factor Noise Correction Response Reconstruction Combined with Moving-window
摘要
Abstract
To address the degradation of response reconstruction accuracy and potential filter divergence caused by measurement noise covariance deviation due to uncertain weight selection in moving-window noise covariance estimation,a multi-factor noise correction Kalman filter(CMWKF)method combined with moving-window is proposed for structural response reconstruction.Initially,arbitrary empirical weights are selected,and the noise covariance is estimated using the improved moving-window method.Multiple correction factors are designed to correct the estimated measurement noise covariance.Finally,based on the Kalman filter algorithm,the responses at unmeasured locations of the structure are reconstructed using the responses from limited measurement points.The effectiveness of the proposed method is verified through case studies on a two-dimensional crane truss and a cantilever beam structure.The results show that the proposed method can effectively mitigate the influence of weight selection in moving-window noise covariance estimation and accurately reconstruct the response time-history curves at unmeasured points of the structure.关键词
移动窗/噪声修正/卡尔曼滤波/响应重构Key words
moving-window/noise correction/Kalman filter/response reconstruction分类
机械制造引用本文复制引用
车佳亮,彭珍瑞..结合移动窗的多因子噪声修正响应重构[J].机械科学与技术,2025,44(11):1868-1875,8.基金项目
国家自然科学基金项目(62161018) （62161018）
