利用压缩频响的希尔伯特变换最小化结构健康监测中的噪声影响

Sahar Hassani, M. Mousavi, A. Gandomi
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引用次数: 2

摘要

提出了一种基于模型更新的损伤检测方法,该方法将压缩频响函数(CFRF)的Unwrapped瞬时希尔伯特相位(UIHP)作为优化问题目标函数的输入。所提出的方法的新颖之处在于两个方面:(1)使用CFRF而不是FRF本身,以及(2)使用与CFRF列相关联的UIHP作为输入。提出的修正对损伤检测实践带来以下改进:(1)CFRF减少了需要测量的自由度(dof)的数量;(2)uhp减轻了测量噪声对损伤检测的影响。解决了不同层数和层向的复合材料层合板的损伤检测问题,结果表明了该方法的有效性。
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MINIMIZING NOISE EFFECTS IN STRUCTURAL HEALTH MONITORING USING HILBERT TRANSFORM OF THE CONDENSED FRF
A novel model updating-based damage detection method is proposed that uses the Unwrapped Instantaneous Hilbert Phase (UIHP) of the condensed frequency response function (CFRF) as input to the objective function of an optimisation problem. The novelty of the proposed method lies in two items: (1) using the CFRF instead of the FRF itself, and (2) using the UIHP associated with the columns of the CFRF as input. The proposed modifications bring about the following improvements in the damage detection practice as follows: (1) CFRF will reduce the number of required degrees of freedom (DOFs) to be measured, and (2) the UIHP mitigates the effect of the measurement noise on damage detection. The problem of damage detection in a laminated composite plate with different number of layers and ply orientation has been solved where the results demonstrate the effectiveness of the proposed method.
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