论文部分内容阅读
针对MBD环境下的零件分类问题,研究MBD信息提取、零件编码转换和深度学习分类算法技术,并创建MBD-计算机辅助零件分类系统(MBD-CAPC),实现从输入MBD模型到输出零件分类结果的自动化。
Aiming at the problem of component classification in MBD environment, the technology of MBD information extraction, part code conversion and deep learning classification algorithm is studied. MBD-CAPC is also created to realize the classification result from input MBD model to output part automation.