摘要
采用Daubechies3小波阈值降噪融合归一化误差离群值冲击定位算法,对复合材料板件结构进行了低速冲击定位。使用表面粘贴的4个光纤布拉格光栅(Fiber Bragg Grating,FBG)传感器对复合材料板件监测,解调仪以2 kHz的频率对冲击信号进行采样。研究发现,Daubechies3小波阈值降噪以及误差离群值算法对复合材料层合板冲击定位的性能有显著影响。通过Daubechies3小波阈值降噪提高了复合材料层合板结构的冲击定位性能,使用基于误差离群值的归一化算法,通过设置合适的离群值阈值,成功地实现了碳纤维层合板的低速冲击定位,平均定位误差为8.19 mm,最大定位误差为21.37 mm。
This study investigates the localization of low-velocity impacts on Carbon Fiber Reinforced Plastic(CFRP)laminates using a normalized error outlier-based algorithm with Daubechies3(Db3)wavelet threshold noise reduction.Multiplex Fiber Bragg Grating(FBG)sensors attached to the CFRP plate′s surface collect impact response signals at 2 kHz.Results demonstrate that the Db3 wavelet threshold noise reduction algorithm enhances impact localization performance.By setting an appropriate outlier threshold and employing the normalized error outlier-based algorithm,low-velocity impacts on CFRP plates are accurately located,with a maximum localization error of 21.35 mm and an average error of 8.19 mm.
作者
丁国平
周能华
DING Guoping;ZHOU Nenghua(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China)
基金
湖北隆中实验室自主创新项目资助(2022ZZ-29)
