飞机装配过程错漏装检测技术研究进展  

Progress in detection technology of errors and omissions in aircraft assembly process

作　　者：王振宇[1,2] 张祥春 严佳[3] 张晓庆 武湛君 WANG Zhenyu;ZHANG Xiangchun;YAN Jia;ZHANG Xiaoqing;WU Zhanjun(School of Mechanics and Aerospace Engineering,Dalian University of Technology,Dalian 116024,China;AVIC China Aero-Polytechnology Establishment,Beijing 100028,China;School of Materials Science and Engineering,Dalian University of Technology,Dalian 116024,China;Institute of Artificial Intelligence,Xiamen University,Xiamen 361102,China)

机构地区：[1]大连理工大学力学与航空航天学院,大连116024 [2]中国航空综合技术研究所,北京100028 [3]大连理工大学材料科学与工程学院,大连116024 [4]厦门大学人工智能研究院,厦门361102

出　　处：《无损检测》2024年第11期73-80,94,共9页Nondestructive Testing

基　　金：工信部民用飞机专项科研项目(MJZ2-3N21)。

摘　　要：飞机装配过程中的错漏装问题对于飞机生产质量和飞行安全具有严重影响。从飞机装配过程错漏装对飞机可靠性和安全性的影响、国内外错漏装检测技术研究现状和飞机装配过程错漏装检测技术的发展和挑战等方面进行了分析,并结合人工智能技术的发展和应用,开展了基于模板匹配、机器学习和深度学习的飞机装配过程错漏装智能检测技术的综述,分析了飞机装配过程错漏装检测技术目前面临的挑战和未来发展方向。The problem of error and leakage loading in the aircraft assembly process has an important impact on the quality of aircraft production and flight safety.In this paper,the impact of aircraft assembly process misfit on aircraft reliability and safety,the current status of research on misfit detection technology at home and abroad,and the development and challenges of aircraft assembly process misfit detection technology were investigated,and combined with the development and application of artificial intelligence technology,the research and review of intelligent detection technology for misfit detection in aircraft assembly process based on template matching,machine learning and deep learning were carried out,the current challenges and future development direction of aircraft assembly process error and omission detection technology were analyzed.

关 键 词：错漏装 机器视觉 模板匹配 深度学习 无损检测 

分 类 号：V267.2[航空宇航科学与技术—航空宇航制造工程] TG115.28[金属学及工艺—物理冶金]