Abstract：In order to improve the detection accuracy and efficiency of flexible solar array hinge defect detection, a two-stage algorithm combining target detection and classification network is proposed by carrying out the research on the surface defect detection method of flexible solar array hinge based on deep learning. The method adopts an automatic camera device to take photos of the hinges and record the surface state of hinges. At the same time, transfer learning and data enhancement algorithms are introduced to solve the problem of lack of defect samples. At the same time, the requirements for computing resources are low and the computational performance is high, so as to achieve the effect of high accuracy and efficiency of surface defect detection.
王兵, 皮刚, 陈文成, 谢海峰, 施祥玲. 基于深度学习的柔性太阳翼琴铰表面缺陷检测方法[J]. 空天防御, 2023, 6(1): 96-101.
WANG Bing, PI Gang, CHEN Wencheng, XIE Haifeng, SHI Xiangling. Deep Learning Based Surface Defect Detection Method of Flexible Solar Array Hinge. Air & Space Defense, 2023, 6(1): 96-101.
