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提出了一种基于模态变化对结构损伤敏感性的传感器优化配置方法——敏感性分析法(Sensitivity Analysis Method,SAM),并简述了两种基于数据信息最大化准则的传统传感器优化配置方法:基于Fisher信息阵行列式值最大化的有效独立法(EFI)和基于运动能最大化的运动能量法(KEM)。运用均方差最小准则(MSE)和模态置信度准则(MAC)来评价这3种传感器优化配置方法的优劣。数值算例表明:敏感性分析法(SAM)是这3种方法中最好的方法。
A Sensitivity Analysis Method (SAM), which is based on the modal change sensitivity to structural damage, is proposed. Two traditional sensor optimization methods based on maximization of data and information are also described : EFI based on maximization of Fisher information matrix and motor energy maximization based on KEM. The mean squared error criterion (MSE) and modal confidence criterion (MAC) were used to evaluate the advantages and disadvantages of these three sensor optimization methods. Numerical examples show that the sensitivity analysis (SAM) is the best of these three methods.