框架结构缺陷识别的小波信息熵方法

Wavelet Entropy Method for Frame-structure Defection Recognition

为有效检测框架结构缺陷,将小波分析和信息熵理论相结合,提出了一种基于小波信息熵的框架结构损伤缺陷以别方法。该方法首先对框架结构振动响应信号进行多分辨率分解,然后利用小波信息熵提取结构损伤特征信息,得到表征结构状态的信息熵指数,最后识别出框架结构缺陷的位置。并在一个三层结构框架模型上进行了仿真分析,分析结果表明:所提出的方法能在被测对象数学模型未知情况下,准确有效地对框架结构损伤进行识别与定位。

To effectively detect the defection of the frame structure,the wavelet analysis and information entropy were combined in this paper,and then a frame structure damage defection recognition method was presented based on wavelet information entropy.Firstly,the vibration response signals of the frame structure were decomposed at multi-resolution scales,and then the structure damage feature was extracted according to the wavelet information entropy,which was described as information entropy index.Finally,the defection position in the frame structure was decided.The simulation was carried out on a three level frame model.The results show that the presented wavelet information entropy method can precisely detect and position the frame structure damage with unknown mathematical model of the objects tested.