提出了一种基于模型减缩和线性模型估计理论的、用于建筑结构健康监测中传感器布置的新算法。
This paper presents a new hybrid algorithm based on both model reduction and linear model estimation for searching optimal number and locations of sensors for building structural health monitoring.
本文应用扩展的卡尔曼滤波估计结构动态参数，文中提出一种简便的减缩变量卡尔曼游波方法，采用等效线性化原理识别结构的非线性参数。
A reduced Kalman filter method for estimating the dynamic parameters of structures is presented in the paper. The results of calculation and test show that this method is effective.
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