计量学报2024，Vol.45Issue(6)：806-818,13.DOI:10.3969/j.issn.1000-1158.2024.06.05
汽车轮毂表面缺陷检测技术分析与装置设计
Technology Analysis and Device Design for Automobile Wheel Hub Surface Defect Detection
摘要
Abstract
Machine vision,as an important method to replace manual detection of wheel hub surface defects,is currently the main research direction in this field.Therefore,a summary and analysis of the research status of surface defect detection technology for automotive hubs is conducted.Firstly,starting with the categories of wheel surface defects and manual detection process,the requirements and difficulties of machine vision-based wheel surface defect detection technology are expounded.Then,the development of intelligent detection algorithms based on machine vision is analyzed,including the application of traditional machine vision methods in defect image preprocessing,defect location and feature extraction,defect classification and recognition,also including the application of deep learning methods such as convolutional neural networks(CNN)in defect detection,segmentation,and other applications.Finally,the existing hub type recognition device,hub defect X-ray image acquisition device,hub surface defect image acquisition device are introduced.On the basis of analyzing the limitations and key technical issues that need to be solved in practical applications of current machine vision based intelligent detection devices,three kinds of intelligent detection experimental device design schemes are proposed.It provides theoretical and technical support for the development and performance improvement of automatic rapid detection device.关键词
机器视觉/汽车轮毂/表面缺陷检测/深度学习/智能检测装置Key words
machine vision/automobile wheel/surface defect detection/deep learning/intelligent detection device分类
通用工业技术引用本文复制引用
刘福才,张震宇,徐继龙,郑宏伟,刘阳..汽车轮毂表面缺陷检测技术分析与装置设计[J].计量学报,2024,45(6):806-818,13.基金项目
河北省自然科学基金(F202220304) （F202220304）
河北省高端装备产业技术研究中心学科交叉技术创新重点项目(H20201103) （H20201103）
