现代电子技术2026，Vol.49Issue(20)：42-48,7.DOI:10.16652/j.issn.1004-373X.2026.20.007
面向航线检修的飞机轮胎缺陷检测算法
Defect detection algorithm for aircraft tire in line maintenance
摘要
Abstract
In allusion to the problem that the complex and diverse defect patterns of aircraft tires in aviation maintenance scenarios make it difficult for existing detection methods to strike a balance between accuracy and model size,an improved YOLOv8-based aircraft tire defect detection algorithm,MAME-YOLO,is proposed.A MESSA-C2f module is designed to enhance multi-scale feature extraction and improve the recognition of irregular defects.The ADown module is introduced to optimize the downsampling process,enhancing feature representation while effectively reducing model parameters.The MASAFPN neck network is constructed to achieve adaptive multi-scale feature fusion of the objects,strengthening the detection of small-scale defects.The EDTAH detection head is designed to optimize the decoupling mechanism,improving discrimination in complex backgrounds and further compressing model parameters.In order to validate the method,experiments are conducted on a self-built aircraft tire defect dataset.The results show that,in comparison with the baseline model,MAME-YOLO can realize a 5.3%increase in mAP@0.5 and a 23.6%reduction in model parameters.This method can provide a feasible technical solution for fast and accurate detection of aircraft tire damage in line maintenance,with promising prospects for engineering applications.关键词
飞机轮胎/缺陷检测/YOLO/多尺度特征融合/小目标检测/航线检修Key words
aircraft tire/defect detection/YOLO/multi-scale feature fusion/small object detection/line maintenance分类
信息技术与安全科学引用本文复制引用
赵世伟,曹希博,郭团结,齐鸣..面向航线检修的飞机轮胎缺陷检测算法[J].现代电子技术,2026,49(20):42-48,7.基金项目
国家重点研发计划项目:"云匣子"系统的体系安全仿真验证技术(2023YFB4302901) （2023YFB4302901）
民航安全能力建设基金项目:民航飞机绕机检查及航空发动机在翼清洗装备中试(RJ2025073) （RJ2025073）
