基于HHT的多自由度结构渐进损伤特征提取方法  

HHT-based structural progressive damage of multi-degree freedom

作　　者：刘义艳[1] 巨永锋[1] 段晨东[1] 赵学风[2] 

机构地区：[1]长安大学电子与控制工程学院,陕西西安710064 [2]西安交通大学电气工程学院,陕西西安710049

出　　处：《西安建筑科技大学学报（自然科学版）》2009年第1期93-99,共7页Journal of Xi'an University of Architecture & Technology(Natural Science Edition)

基　　金：陕西省自然科学基金资助项目(2005E205)

摘　　要：大型复杂工程结构的损伤实际上是一个渐进损伤的过程,为解决结构损伤识别中非平稳随机信号的时变性并有效地识别这个损伤过程,研究了基于Hilbert-Huang变换的结构渐进损伤特征提取方法.首先模拟产生了多自由度结构系统发生渐进损伤的加速度振动信号;然后对加速度振动信号进行经验模式分解,将其分解为多个平稳的固有模式函数之和;再选取若干个包含主要损伤信息的固有模式函数进行Hilbert变换,提取瞬时频率作为特征参数进行损伤特征提取.研究结果表明:HHT是一种有效的信号处理方法,通过提取瞬时频率,可以准确地提取结构渐进损伤的特征.The large complex structure damage is a progressive process actually. In order to solve the time-variable of nonsteady random signal during the process of structure health monitoring and to identify the process efficiently, a feature extraction method of structure progressive damage is studied based on Hilbert-Huang transform. First,the acceleration vibration signals of a multiple-degree of freedom structure model are simulated by reducing the stiffness gradually, and decomposed several smoothed intrinsic mode function（IMF）. Then, some IMFs which contain main information are selected and transformed by Hilbert, and the instantaneous frequency is extracted as feature parameter. The result indicated that： HHT is an effective signal processing way that can accurately extract progressive damage feature by means of extracting instantaneous frequency.

关 键 词：多自由度结构 渐进损伤 HHT 瞬时频率 特征提取 

分 类 号：TN911.72[电子电信—通信与信息系统] TU311.3[电子电信—信息与通信工程]