摘要
提出了一种基于传感器线阵的多重信号分类(Multiple Signal Classification,MUSIC)损伤成像方法用于航空复合材料的损伤监测。该方法采用MUSIC阵列信号处理方法,通过对传感器阵列信号进行协方差特征值分解,在结构上进行方向扫描并构建监测区域的空间谱,从而实现对结构损伤的成像,具有一维传感器阵列易于布置的优点。所提出的方法在变厚度航空复合材料油箱结构上进行了验证,结果表明,该方法能够准确实现航空复合材料结构上的损伤成像,定位误差小于2cm。
An imaging method,which combines the MUSIC（Multiple Signal Classification）algorithm and linear sensor array,was proposed and used for monitoring the composite structure damage.This method utilized the array signal processing method based on MUSIC algorithm,which performed the eigenvalue decomposition of the covariance matrix of array signal and then calculated the spatial spectrum by direction scanning to realize damage imaging.The method has an advantage of arranging the linear sensor array easily.The experiment on the aircraft oil tank,which was made of carbon fibers with a variable thickness,was established.Experimental results show that the proposed method can realize damage imaging on aircraft composite structures accurately,and the damage localization error is less than 2cm.
出处
《复合材料学报》
EI
CAS
CSCD
北大核心
2017年第2期456-462,共7页
Acta Materiae Compositae Sinica
基金
国家自然科学基金杰出青年基金(51225502)
国家自然科学基金重点项目(51635008)
国家自然科学基金(51575263)
国家973计划(2014CB046200)
江苏高校优势学科建设工程资助项目
青蓝工程
