摘要
提出了一种基于HHT方法的结构模态参数识别技术,并结合故宫木结构古建筑现场实测,探讨结合SSA(Singular Spectrum Analysis)的HHT(Hilbert-Huang Transform)方法在低信噪比信号模态识别中的应用。为了分析结合SSA的HHT方法的性能,用结合SSA的HHT方法和普通的HHT方法分别识别通过数值模拟得到的不同信噪比的数据信号,并对识别结果进行分析,对比表明该方法在低信噪比信号处理上有就好的识别效果,并运用在故宫木结构参数识别上。
In this paper,a new method was investigated for operational modal parameter identification to deal with signals in low SNR level.In order to analyze the performance of the new method,numerical simulation data signals of different SNR levels were identified by the new method and the normal HHT method.The results were analyzed.The comparison shows that the method has a better recognition effect on low SNR signal processing,and can be used in the timber structural parameters identification.
作者
胡浩然
杨娜
HU Haoran;YANG Na(School of Civil Engineering Beijing Jiaotong University,Beijing 100044,China;Operation and Monitoring Center for Hefei Urban Safety&Security,Hefei 230000,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2018年第20期75-80,共6页
Journal of Vibration and Shock
基金
国家自然科学基金重点项目(51338001)
国家自然科学基金面上项目(51178028)
关键词
模态识别
信噪比
噪声
木结构
环境激励
modal parameters identification
SNR
noise
timber structural
ambient excitation
