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 new optimal sensor placement method, called sensitivity analysis method (SAM), is presented in this paper. It analyzes the sensitivity according to the changes of structural mode shape due to stiffiaess changes (damages are reflected through stiffness reduction). Two traditional methods of optimal sensor placement, the effective independence method (EFI) based on maximizing the data information and the kinetic energy method (KEM) based on maximizing the kinetic energy, are discussed briefly. And we compare the new method (SAM) with the two traditional methods under two criteria: mean square error (MSE) and modal assurance criterion (MAC). The numerical simulation results show that the SAM is the best of the three.