Assembling of multi-setup measurements emerges as a challenging problem in the structural health monitoring applications and may cause some important issues in the estimation of global modal parameters such as frequency, damping ratio and modal shape vector. To overcome this problem, a novel frequency domain pre-identification data merging method is proposed in this study. In the proposed methodology, to obtain a single measurement set, a least squares approach is employed resulting in a global response that is scaled from the multi-setup data. For the verification of the proposed merging procedure, one numerical, two experimental studies and one real data application have been conducted. The results obtained from the numerical, experimental and real data analysis indicate that the presented methodology provides rather high-quality estimations for multi-setup measurement problems.

在结构健康监测应用中，多设置测量值的组合成为一个具有挑战性的问题，并可能在估计诸如频率，阻尼比和模态形状矢量等全局模态参数时引起一些重要问题。为了克服这个问题，本研究提出了一种新颖的频域预识别数据合并方法。在所提出的方法中，为了获得单个测量集，采用了最小二乘法，从而得出了根据多重设置数据缩放的全局响应。为了验证所提出的合并程序，已进行了一项数值，两项实验研究和一项实际数据应用。从数值获得的结果