An improved empirical wavelet transform approach for modal identification of structures

摘要：

　　This paper proposes an improved Empirical Wavelet Transform(EWT)approach,which can be used for modal identification of structures.Measured dynamic responses from structures under ambient vibrations are used.This improved EWT approach includes two steps.Standardized Auto-Regressive(SAR)power spectrum of the measured response is calculated in the first step to define the boundaries of frequency components in EWT.The second step is to decompose the measured response into a number of Intrinsic Mode Functions(IMFs),which will be used to identify structural modal information such as natural frequencies and damping ratios.Numerical studies are conducted to identify the modal information of a spatial frame structure under the ambient excitations.The modal identification results demonstrate that the proposed approach can effectively and accurately decompose the vibration responses and identify the structural modal parameters under operational conditions.

关键词： Improved EWT Modal identification SAR power spectrum Closely-spaced modes IMF

作者: Jun Li Yu Xin Hong Hao

作者单位: Centre for Infrastructural Monitoring and Protection,School of Civil and Mechanical Engineering,Curtin University,Kent Street,Bentley,WA6102,Australia

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 139-148

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）