基于HHT的结构损伤特征量与异常诊断

Hilbert-Huang transform based approach for structural damage feature extraction and alarming

Hilbert-Huang Transform(HHT)是一种新的适用于非线性、非平稳信号且具有自适应性的数据处理方法.提出了一种基于HHT的结构损伤识别方法,该方法利用结构动态响应信号的HHT边际谱构造出损伤特征量——模态成分向量,进而定义结构异常指数.通过比较结构同一位置不同状态下模态成分向量的匹配度来识别结构特性变化,实现损伤辨识.数值模拟分析表明,该方法具有有效性和实用性.

Hilbert-Huang transform（HHT） is a novel data analysis method which can be used in nonlinear, non-stationary data and it＇s very adaptive. In this paper, the damage index method which can provide which the information of damage is built based on margin spectrum of HHT. Conception of abnormal index is also proposed as a token of damage degree. Simulation analysis can provide the steps of method, and demonstrate its validity and practicability.