基于同面电容成像的航天隔热复合材料粘接缺陷检测方法
发布时间：2018-11-19 12:03
【摘要】：为了实现对航天隔热复合材料粘接缺陷的可视化检测,在分析同面电容成像(CPCI)系统模型及图像重建原理的基础上,提出了一种基于Kalman滤波的CPCI算法,并通过对估计电容值和测量电容值依赖程度的不断调整来实现最优估计。构建了仿真实验,验证了采用基于Kalman滤波的CPCI算法在缺陷检测中的可行性和有效性。与采用常规CPCI算法的检测实验结果进行了对比,结果表明,所提图像重建算法获得的粘接缺陷图像精度具有较大的提升。
[Abstract]:In order to detect the adhesion defects of spaceflight insulating composites visually, a CPCI algorithm based on Kalman filter is proposed based on the analysis of the model of coplanar capacitive imaging (CPCI) system and the principle of image reconstruction. The optimal estimation is realized by adjusting the dependence of the estimated capacitance value and the measured capacitance value. The simulation results show that the CPCI algorithm based on Kalman filter is feasible and effective in defect detection. The experimental results are compared with those of the conventional CPCI algorithm. The results show that the proposed image reconstruction algorithm can improve the precision of the adhesive defect image.
【作者单位】： 燕山大学电气工程学院;燕山大学国防科学技术学院;
【基金】：国家自然科学基金项目(61573302) 河北省自然科学基金项目(E2017203240)
【分类号】：TP391.41;V250.2
本文编号：2342248
[Abstract]:In order to detect the adhesion defects of spaceflight insulating composites visually, a CPCI algorithm based on Kalman filter is proposed based on the analysis of the model of coplanar capacitive imaging (CPCI) system and the principle of image reconstruction. The optimal estimation is realized by adjusting the dependence of the estimated capacitance value and the measured capacitance value. The simulation results show that the CPCI algorithm based on Kalman filter is feasible and effective in defect detection. The experimental results are compared with those of the conventional CPCI algorithm. The results show that the proposed image reconstruction algorithm can improve the precision of the adhesive defect image.
【作者单位】： 燕山大学电气工程学院;燕山大学国防科学技术学院;
【基金】：国家自然科学基金项目(61573302) 河北省自然科学基金项目(E2017203240)
【分类号】：TP391.41;V250.2
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