ID 原文 译文
41096 由于硅通孔互连(Through Silicon Via，TSV)三维封装内部缺陷深藏于器件及封装内部，采用常规方法很难检测。 Since the internal defects of the through silicon via(TSV) three-dimensional package are hidden deeply inside the device and the package, they are difficult to be detected with conventional methods.
41097 然而TSV三维封装缺陷在热-电激励的情况下可表现出规则性的外在特征， However, TSV 3D packaging defects can show regular external characteristics under the condition of thermo-electric excitation.
41098 因此可以通过识别这些外在特征达到对TSV三维封装内部缺陷进行检测的目的。 Therefore, TSV 3D packaging internal defect detection can be achieved by identifying these external features.
41099 文章利用理论与有限元仿真相结合，对比了正常TSV与典型缺陷TSV的温度分布，发现了可供缺陷识别的显著差异。 In this paper, the combination of theory and finite element simulation were used to compare the temperature distribution of normal TSV and typical defective TSV, and significant differences were presented for defect identification.
41100 分析结果表明，在三种典型缺陷中，含缝隙TSV与正常TSV温度分布差异最小; The analysis results show that among the three typical defects, the difference in temperature distribution between TSV with gaps and normal TSV is the smallest,
41101 其次为底部空洞TSV，差异最大的为填充缺失TSV。 the second is TSV with bottom cavity, and the largest difference is TSV with filling missing.
41102 由此可知，通过检测热-电耦合激励下的TSV封装外部温度特征，可实现TSV三维封装互连结构内部缺陷诊断与定位。 It can be seen that by detecting the external temperature characteristics of the TSV package under thermo-electric coupling excitation, the internal defect diagnosis and location of the TSV threedimensional package interconnect structure can be realized.
41103 视觉测量具有结构简单、成本低、非接触式测量的优点，利用视觉位姿测量结果对空间展开机构进行定位具有良好的应用前景。 Visual measurement is a promising approach for locating the space deployment mechanism due to simple structure, low cost, and noncontact.
41104 实际应用中需要将视觉测量数据转换到物空间坐标系从而对定位系统的控制量提供指导。 Visual measurement data needs to be converted to object space coordinate system in practice, therefore providing guidance for the control quantity of the positioning system.
41105 针对相机外参数标定操作繁琐、需要额外设备、不利于在轨实现等缺点，提出了一种利用运动样本空间构建坐标系转换关系的数据处理方法，根据取样空间内构建的补偿方程，可以将各自由度的视觉测量数据转换到控制器坐标系上，同时能够校正由于安装、配准等导致的系统误差，从而实现高精度的空间目标定位。 In this paper, a data processing method is proposed by using motion sample data space to construct coordinate system transformation, which eliminates the cumbersome operation of external parameter calibration in on-orbit implementation.